{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import *\n",
    "from map_wrapper import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-04\n"
     ]
    }
   ],
   "source": [
    "print(f\"{year}-{month:02}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append('../../py')\n",
    "import db\n",
    "import weighted\n",
    "import inspect\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号\n",
    "%matplotlib inline\n",
    "\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "import numpy as np\n",
    "import math\n",
    "from mpl_toolkits.basemap import Basemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.font_manager import _rebuild\n",
    "\n",
    "_rebuild() #reload一下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "conn=db.get_conn()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "cities = \"\"\"\n",
    "('北京','上海','深圳','杭州','广州','南京','苏州','成都','东莞','西安','武汉','天津','长沙',\n",
    "'宁波','福州','大连','重庆','青岛','济南','合肥','长春','昆明','郑州','沈阳','哈尔滨','厦门')\n",
    "\"\"\"\n",
    "data_original=pd.read_sql(sql=f\"select * from _{year}{month:02} where monthly_salary>0 and monthly_salary<80000 and city in {cities}\", con=conn)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "error_job_ids=['104660258','104142922','108434795','101357291','106253516','110368302','111391233','108665401','109277048'\n",
    "                  ,'73857191','108584955','102824950','102824949','111391233','110884556']\n",
    "data=data_original[~data_original.job_id.isin(error_job_ids)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "del data['publish_date']\n",
    "del data['published_on_weekend']\n",
    "del data['title']\n",
    "del data['job_description']\n",
    "del data['job_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Common Functions\n",
    "def get_sub_stats_by_col(data, col):\n",
    "    categories=data[col].unique()\n",
    "    salary_mean=[]\n",
    "    salary_95_min=[]\n",
    "    salary_95_max=[]\n",
    "    salary_median=[]\n",
    "\n",
    "    count=[]\n",
    "    \n",
    "    categorys_out=[]\n",
    "    for category in categories:\n",
    "        #print(feature)\n",
    "        idata=data[data[col]==category]\n",
    "        headcount=idata.headcount.sum()\n",
    "        values = idata.monthly_salary.values\n",
    "        weights = idata.headcount.values\n",
    "        #print(str(headcount))\n",
    "        if headcount==0:\n",
    "            continue\n",
    "        \n",
    "        salary_mean.append(np.average(values, weights=weights))\n",
    "        \n",
    "\n",
    "        q = weighted.weighted_quantile(values,[0.025,0.5,0.975],weights)\n",
    "        salary_95_min.append(q[0])\n",
    "        salary_median.append(q[1])\n",
    "        salary_95_max.append(q[2])\n",
    "        count.append(idata.headcount.sum())\n",
    "        categorys_out.append(category)\n",
    "    sub_data=pd.DataFrame()\n",
    "    sub_data[col]=[c for c in categorys_out]\n",
    "    sub_data['平均工资']=salary_mean\n",
    "    sub_data['最低工资']=salary_95_min\n",
    "    sub_data['中位数']=salary_median\n",
    "    sub_data['最高工资']=salary_95_max\n",
    "    sub_data['招聘人数']=count\n",
    "    sub_data['百分比']=count/np.sum(count)\n",
    "    sub_data=sub_data.sort_values(by='平均工资', ascending=False)\n",
    "\n",
    "    return sub_data\n",
    "\n",
    "data_format={\"百分比\":\"{:.2%}\",\"平均工资\":\"{:.0f}\",\"中位数\":\"{:.0f}\",\"最低工资\":\"{:.0f}\",\"最高工资\":\"{:.0f}\"}\n",
    "\n",
    "translate_dict={}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 程序员工资"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_86a256b8_7816_11ea_844c_701ce71031ef\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >排名</th>        <th class=\"col_heading level0 col1\" >city</th>        <th class=\"col_heading level0 col2\" >平均工资</th>        <th class=\"col_heading level0 col3\" >最低工资</th>        <th class=\"col_heading level0 col4\" >中位数</th>        <th class=\"col_heading level0 col5\" >最高工资</th>        <th class=\"col_heading level0 col6\" >招聘人数</th>        <th class=\"col_heading level0 col7\" >百分比</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col1\" class=\"data row0 col1\" >北京</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col2\" class=\"data row0 col2\" >18246</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col3\" class=\"data row0 col3\" >5250</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col4\" class=\"data row0 col4\" >16000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col5\" class=\"data row0 col5\" >45000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col6\" class=\"data row0 col6\" >30892</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow0_col7\" class=\"data row0 col7\" >9.24%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row1\" class=\"row_heading level0 row1\" >0</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col1\" class=\"data row1 col1\" >上海</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col2\" class=\"data row1 col2\" >17060</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col3\" class=\"data row1 col3\" >6500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col4\" class=\"data row1 col4\" >15000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col5\" class=\"data row1 col5\" >40000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col6\" class=\"data row1 col6\" >59059</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow1_col7\" class=\"data row1 col7\" >17.67%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col1\" class=\"data row2 col1\" >深圳</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col2\" class=\"data row2 col2\" >16784</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col3\" class=\"data row2 col3\" >6500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col4\" class=\"data row2 col4\" >15000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col5\" class=\"data row2 col5\" >37500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col6\" class=\"data row2 col6\" >46645</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow2_col7\" class=\"data row2 col7\" >13.96%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row3\" class=\"row_heading level0 row3\" >7</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col1\" class=\"data row3 col1\" >杭州</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col2\" class=\"data row3 col2\" >16017</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col3\" class=\"data row3 col3\" >5658</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col4\" class=\"data row3 col4\" >14000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col5\" class=\"data row3 col5\" >37500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col6\" class=\"data row3 col6\" >18898</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow3_col7\" class=\"data row3 col7\" >5.65%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row4\" class=\"row_heading level0 row4\" >10</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col1\" class=\"data row4 col1\" >广州</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col2\" class=\"data row4 col2\" >14800</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col3\" class=\"data row4 col3\" >5250</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col4\" class=\"data row4 col4\" >12500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col5\" class=\"data row4 col5\" >30000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col6\" class=\"data row4 col6\" >41262</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow4_col7\" class=\"data row4 col7\" >12.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row5\" class=\"row_heading level0 row5\" >9</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col1\" class=\"data row5 col1\" >武汉</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col2\" class=\"data row5 col2\" >13610</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col3\" class=\"data row5 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col4\" class=\"data row5 col4\" >12500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col5\" class=\"data row5 col5\" >27000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col6\" class=\"data row5 col6\" >15863</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow5_col7\" class=\"data row5 col7\" >4.75%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row6\" class=\"row_heading level0 row6\" >1</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col1\" class=\"data row6 col1\" >南京</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col2\" class=\"data row6 col2\" >13525</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col3\" class=\"data row6 col3\" >5250</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col4\" class=\"data row6 col4\" >12500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col5\" class=\"data row6 col5\" >27500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col6\" class=\"data row6 col6\" >18589</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow6_col7\" class=\"data row6 col7\" >5.56%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row7\" class=\"row_heading level0 row7\" >5</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col1\" class=\"data row7 col1\" >大连</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col2\" class=\"data row7 col2\" >13495</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col3\" class=\"data row7 col3\" >4500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col4\" class=\"data row7 col4\" >11500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col5\" class=\"data row7 col5\" >32500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col6\" class=\"data row7 col6\" >10904</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow7_col7\" class=\"data row7 col7\" >3.26%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row8\" class=\"row_heading level0 row8\" >19</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col1\" class=\"data row8 col1\" >东莞</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col2\" class=\"data row8 col2\" >13096</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col3\" class=\"data row8 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col4\" class=\"data row8 col4\" >12500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col5\" class=\"data row8 col5\" >27500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col6\" class=\"data row8 col6\" >3827</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow8_col7\" class=\"data row8 col7\" >1.15%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row9\" class=\"row_heading level0 row9\" >6</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col1\" class=\"data row9 col1\" >苏州</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col2\" class=\"data row9 col2\" >12737</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col3\" class=\"data row9 col3\" >4500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col4\" class=\"data row9 col4\" >12083</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col5\" class=\"data row9 col5\" >27500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col6\" class=\"data row9 col6\" >9273</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow9_col7\" class=\"data row9 col7\" >2.77%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row10\" class=\"row_heading level0 row10\" >4</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col1\" class=\"data row10 col1\" >成都</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col2\" class=\"data row10 col2\" >12717</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col3\" class=\"data row10 col3\" >4944</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col4\" class=\"data row10 col4\" >11500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col5\" class=\"data row10 col5\" >30000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col6\" class=\"data row10 col6\" >16033</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow10_col7\" class=\"data row10 col7\" >4.80%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col1\" class=\"data row11 col1\" >西安</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col2\" class=\"data row11 col2\" >12330</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col3\" class=\"data row11 col3\" >4263</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col4\" class=\"data row11 col4\" >11500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col5\" class=\"data row11 col5\" >27500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col6\" class=\"data row11 col6\" >10336</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow11_col7\" class=\"data row11 col7\" >3.09%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row12\" class=\"row_heading level0 row12\" >13</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col1\" class=\"data row12 col1\" >长沙</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col2\" class=\"data row12 col2\" >12010</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col3\" class=\"data row12 col3\" >5250</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col4\" class=\"data row12 col4\" >11500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col5\" class=\"data row12 col5\" >25000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col6\" class=\"data row12 col6\" >7301</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow12_col7\" class=\"data row12 col7\" >2.18%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row13\" class=\"row_heading level0 row13\" >23</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col1\" class=\"data row13 col1\" >厦门</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col2\" class=\"data row13 col2\" >11819</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col3\" class=\"data row13 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col4\" class=\"data row13 col4\" >11500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col5\" class=\"data row13 col5\" >22500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col6\" class=\"data row13 col6\" >2335</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow13_col7\" class=\"data row13 col7\" >0.70%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row14\" class=\"row_heading level0 row14\" >21</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col1\" class=\"data row14 col1\" >天津</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col2\" class=\"data row14 col2\" >11283</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col3\" class=\"data row14 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col4\" class=\"data row14 col4\" >10000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col5\" class=\"data row14 col5\" >22654</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col6\" class=\"data row14 col6\" >2423</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow14_col7\" class=\"data row14 col7\" >0.72%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col1\" class=\"data row15 col1\" >宁波</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col2\" class=\"data row15 col2\" >10827</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col3\" class=\"data row15 col3\" >4750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col4\" class=\"data row15 col4\" >10416</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col5\" class=\"data row15 col5\" >21388</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col6\" class=\"data row15 col6\" >3625</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow15_col7\" class=\"data row15 col7\" >1.08%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row16\" class=\"row_heading level0 row16\" >18</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col1\" class=\"data row16 col1\" >福州</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col2\" class=\"data row16 col2\" >10788</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col3\" class=\"data row16 col3\" >5250</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col4\" class=\"data row16 col4\" >10416</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col5\" class=\"data row16 col5\" >20000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col6\" class=\"data row16 col6\" >3674</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow16_col7\" class=\"data row16 col7\" >1.10%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col1\" class=\"data row17 col1\" >重庆</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col2\" class=\"data row17 col2\" >10761</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col3\" class=\"data row17 col3\" >4500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col4\" class=\"data row17 col4\" >9500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col5\" class=\"data row17 col5\" >25000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col6\" class=\"data row17 col6\" >4678</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow17_col7\" class=\"data row17 col7\" >1.40%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row18\" class=\"row_heading level0 row18\" >16</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col1\" class=\"data row18 col1\" >合肥</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col2\" class=\"data row18 col2\" >10710</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col3\" class=\"data row18 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col4\" class=\"data row18 col4\" >10416</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col5\" class=\"data row18 col5\" >20000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col6\" class=\"data row18 col6\" >4990</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow18_col7\" class=\"data row18 col7\" >1.49%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row19\" class=\"row_heading level0 row19\" >14</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col1\" class=\"data row19 col1\" >沈阳</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col2\" class=\"data row19 col2\" >10094</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col3\" class=\"data row19 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col4\" class=\"data row19 col4\" >8000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col5\" class=\"data row19 col5\" >32500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col6\" class=\"data row19 col6\" >3146</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow19_col7\" class=\"data row19 col7\" >0.94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row20\" class=\"row_heading level0 row20\" >8</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col1\" class=\"data row20 col1\" >郑州</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col2\" class=\"data row20 col2\" >9177</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col3\" class=\"data row20 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col4\" class=\"data row20 col4\" >8000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col5\" class=\"data row20 col5\" >20000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col6\" class=\"data row20 col6\" >3423</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow20_col7\" class=\"data row20 col7\" >1.02%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row21\" class=\"row_heading level0 row21\" >25</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col0\" class=\"data row21 col0\" >22</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col1\" class=\"data row21 col1\" >长春</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col2\" class=\"data row21 col2\" >9044</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col3\" class=\"data row21 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col4\" class=\"data row21 col4\" >7500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col5\" class=\"data row21 col5\" >19938</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col6\" class=\"data row21 col6\" >1050</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow21_col7\" class=\"data row21 col7\" >0.31%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col0\" class=\"data row22 col0\" >23</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col1\" class=\"data row22 col1\" >昆明</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col2\" class=\"data row22 col2\" >8484</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col3\" class=\"data row22 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col4\" class=\"data row22 col4\" >8000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col5\" class=\"data row22 col5\" >15500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col6\" class=\"data row22 col6\" >1976</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow22_col7\" class=\"data row22 col7\" >0.59%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row23\" class=\"row_heading level0 row23\" >24</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col0\" class=\"data row23 col0\" >24</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col1\" class=\"data row23 col1\" >济南</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col2\" class=\"data row23 col2\" >8301</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col3\" class=\"data row23 col3\" >5000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col4\" class=\"data row23 col4\" >7000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col5\" class=\"data row23 col5\" >17500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col6\" class=\"data row23 col6\" >8067</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow23_col7\" class=\"data row23 col7\" >2.41%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row24\" class=\"row_heading level0 row24\" >12</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col0\" class=\"data row24 col0\" >25</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col1\" class=\"data row24 col1\" >青岛</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col2\" class=\"data row24 col2\" >8191</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col3\" class=\"data row24 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col4\" class=\"data row24 col4\" >7000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col5\" class=\"data row24 col5\" >20833</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col6\" class=\"data row24 col6\" >5009</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow24_col7\" class=\"data row24 col7\" >1.50%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_86a256b8_7816_11ea_844c_701ce71031eflevel0_row25\" class=\"row_heading level0 row25\" >20</th>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col0\" class=\"data row25 col0\" >26</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col1\" class=\"data row25 col1\" >哈尔滨</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col2\" class=\"data row25 col2\" >6743</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col3\" class=\"data row25 col3\" >3750</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col4\" class=\"data row25 col4\" >6000</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col5\" class=\"data row25 col5\" >12500</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col6\" class=\"data row25 col6\" >939</td>\n",
       "                        <td id=\"T_86a256b8_7816_11ea_844c_701ce71031efrow25_col7\" class=\"data row25 col7\" >0.28%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x17b103b2888>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_city=get_sub_stats_by_col(data,'city')\n",
    "data_city['排名']=list(range(1,data_city.shape[0]+1))\n",
    "data_city=data_city[['排名', 'city', '平均工资', '最低工资', '中位数', '最高工资', '招聘人数', '百分比']]\n",
    "data_city.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['排名', 'city', '平均工资', '最低工资', '中位数', '最高工资', '招聘人数', '百分比'], dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_city.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Unknown format code 'f' for object of type 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-16-78741f1582a4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdescribe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_city\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'程序员'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mD:\\projects\\51job_survey\\51job_survey_py\\reports\\202004\\map_wrapper.py\u001b[0m in \u001b[0;36mdescribe\u001b[1;34m(data_city, career)\u001b[0m\n\u001b[0;32m    194\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    195\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrow\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata_city\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miterrows\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 196\u001b[1;33m         \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"{year}年{month}月{row[0]}招收{career}{row[5]}人。2019年{month}月{row[0]}{career}平均工资{row[1]:.0f}元，工资中位数{row[3]:.0f}元，其中95%的人的工资介于{row[2]:.0f}元到{row[4]:.0f}元。\\r\\n\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m: Unknown format code 'f' for object of type 'str'"
     ]
    }
   ],
   "source": [
    "describe(data_city,'程序员')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [1] of <class 'int'>",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-18-74e1125c1de3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdraw_city_map\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_city\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2000\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34mf'{year}年{month}月中国大陆主要城市程序员工资'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mD:\\projects\\51job_survey\\51job_survey_py\\reports\\202004\\map_wrapper.py\u001b[0m in \u001b[0;36mdraw_city_map\u001b[1;34m(data_city, headcount_scale, title)\u001b[0m\n\u001b[0;32m     42\u001b[0m         \u001b[0mcity\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 44\u001b[1;33m         \u001b[0mlongitude\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata_location\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcity\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'longitude'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     45\u001b[0m         \u001b[0mlatitude\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata_location\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcity\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'latitude'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     46\u001b[0m         \u001b[0msalary\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   1758\u001b[0m                 \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1759\u001b[0m                     \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1760\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1761\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1762\u001b[0m             \u001b[1;31m# we by definition only have the 0th axis\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[1;34m(self, tup)\u001b[0m\n\u001b[0;32m   1268\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1269\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1270\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1271\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mIndexingError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1272\u001b[0m             \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_getitem_lowerdim\u001b[1;34m(self, tup)\u001b[0m\n\u001b[0;32m   1385\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1386\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_label_like\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1387\u001b[1;33m                 \u001b[0msection\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1388\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1389\u001b[0m                 \u001b[1;31m# we have yielded a scalar ?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1960\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1961\u001b[0m         \u001b[1;31m# fall thru to straight lookup\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1962\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1963\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1964\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1828\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mis_list_like_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1829\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_convert_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1830\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1831\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_convert_scalar_indexer\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m    738\u001b[0m         \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m-\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    739\u001b[0m         \u001b[1;31m# a scalar\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 740\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_convert_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    741\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    742\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_convert_slice_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m_convert_scalar_indexer\u001b[1;34m(self, key, kind)\u001b[0m\n\u001b[0;32m   2886\u001b[0m             \u001b[1;32melif\u001b[0m \u001b[0mkind\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m\"loc\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2887\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mholds_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2888\u001b[1;33m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalid_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"label\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2889\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2890\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m_invalid_indexer\u001b[1;34m(self, form, key)\u001b[0m\n\u001b[0;32m   3075\u001b[0m         \"\"\"\n\u001b[0;32m   3076\u001b[0m         raise TypeError(\n\u001b[1;32m-> 3077\u001b[1;33m             \u001b[1;34mf\"cannot do {form} indexing on {type(self)} with these \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3078\u001b[0m             \u001b[1;34mf\"indexers [{key}] of {type(key)}\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3079\u001b[0m         )\n",
      "\u001b[1;31mTypeError\u001b[0m: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [1] of <class 'int'>"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1040x1040 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_city_map(data_city,2000,f'{year}年{month}月中国大陆主要城市程序员工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 区块链工程师"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_blockchain=get_sub_stats_by_col(data[(data.expert_blockchain==1)],'city')\n",
    "\n",
    "data_blockchain.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "describe(data_blockchain,'区块链工程师')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "draw_city_map(data_blockchain[data_blockchain['招聘人数']>10],10,f'{year}年{month}月中国大陆主要城市区块链工程师工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 机器学习工程师"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_city_algorithm=get_sub_stats_by_col(data[data.career=='机器学习'],'city')\n",
    "data_city_algorithm.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "describe(data_city_algorithm,'机器学习')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "draw_city_map(data_city_algorithm,100,f'{year}年{month}月中国大陆主要城市机器学习工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 系统架构师"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_city_architect=get_sub_stats_by_col(data[data.career=='系统架构师'],'city')\n",
    "data_city_architect.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "describe(data_city_architect,'系统架构师')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "draw_city_map(data_city_architect,40,f'{year}年{month}月中国大陆主要城市【架构师】工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 生物信息工程师"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_e72e2286_7816_11ea_abbd_701ce71031ef\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >city</th>        <th class=\"col_heading level0 col1\" >平均工资</th>        <th class=\"col_heading level0 col2\" >最低工资</th>        <th class=\"col_heading level0 col3\" >中位数</th>        <th class=\"col_heading level0 col4\" >最高工资</th>        <th class=\"col_heading level0 col5\" >招聘人数</th>        <th class=\"col_heading level0 col6\" >百分比</th>    </tr></thead><tbody>\n",
       "        </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x17b336f3e08>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_bio=get_sub_stats_by_col(data[data.career=='生物信息工程师'],'city')\n",
    "data_bio.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "describe(data_bio,'生物信息工程师')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'data_bio' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-9-93160b316b73>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdraw_city_map\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_bio\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34mf'{year}年{month}月中国大陆主要城市【生物信息工程师】工资'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'data_bio' is not defined"
     ]
    }
   ],
   "source": [
    "draw_city_map(data_bio,2,f'{year}年{month}月中国大陆主要城市【生物信息工程师】工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 爬虫工程师"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'get_sub_stats_by_col' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-10-67bcb2d2f103>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata_spider\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mget_sub_stats_by_col\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcareer\u001b[0m\u001b[1;33m==\u001b[0m\u001b[1;34m'爬虫工程师'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'city'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdata_spider\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdata_spider\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdata_spider\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'招聘人数'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m>\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mdata_spider\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstyle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_format\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'get_sub_stats_by_col' is not defined"
     ]
    }
   ],
   "source": [
    "data_spider=get_sub_stats_by_col(data[data.career=='爬虫工程师'],'city')\n",
    "data_spider=data_spider[data_spider['招聘人数']>10]\n",
    "data_spider.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'data_spider' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-11-849c6c73d965>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdescribe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_spider\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'爬虫工程师'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'data_spider' is not defined"
     ]
    }
   ],
   "source": [
    "describe(data_spider, '爬虫工程师')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'data_spider' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-12-bf87c7344473>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdraw_city_map\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_spider\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34mf'{year}年{month}月中国大陆主要城市【爬虫工程师】工资'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'data_spider' is not defined"
     ]
    }
   ],
   "source": [
    "draw_city_map(data_spider,5,f'{year}年{month}月中国大陆主要城市【爬虫工程师】工资')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Java程序员"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031ef\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >city</th>        <th class=\"col_heading level0 col1\" >平均工资</th>        <th class=\"col_heading level0 col2\" >最低工资</th>        <th class=\"col_heading level0 col3\" >中位数</th>        <th class=\"col_heading level0 col4\" >最高工资</th>        <th class=\"col_heading level0 col5\" >招聘人数</th>        <th class=\"col_heading level0 col6\" >百分比</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col0\" class=\"data row0 col0\" >北京</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col1\" class=\"data row0 col1\" >18035</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col2\" class=\"data row0 col2\" >7000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col3\" class=\"data row0 col3\" >15000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col4\" class=\"data row0 col4\" >42712</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col5\" class=\"data row0 col5\" >7910</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow0_col6\" class=\"data row0 col6\" >9.67%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col0\" class=\"data row1 col0\" >深圳</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col1\" class=\"data row1 col1\" >17336</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col2\" class=\"data row1 col2\" >7000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col3\" class=\"data row1 col3\" >15000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col4\" class=\"data row1 col4\" >40000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col5\" class=\"data row1 col5\" >9758</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow1_col6\" class=\"data row1 col6\" >11.93%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row2\" class=\"row_heading level0 row2\" >4</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col0\" class=\"data row2 col0\" >上海</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col1\" class=\"data row2 col1\" >17323</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col2\" class=\"data row2 col2\" >7000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col3\" class=\"data row2 col3\" >15500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col4\" class=\"data row2 col4\" >37500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col5\" class=\"data row2 col5\" >14429</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow2_col6\" class=\"data row2 col6\" >17.64%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row3\" class=\"row_heading level0 row3\" >10</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col0\" class=\"data row3 col0\" >杭州</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col1\" class=\"data row3 col1\" >16263</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col2\" class=\"data row3 col2\" >6554</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col3\" class=\"data row3 col3\" >14500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col4\" class=\"data row3 col4\" >40000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col5\" class=\"data row3 col5\" >4616</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow3_col6\" class=\"data row3 col6\" >5.64%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row4\" class=\"row_heading level0 row4\" >6</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col0\" class=\"data row4 col0\" >广州</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col1\" class=\"data row4 col1\" >14498</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col2\" class=\"data row4 col2\" >6000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col3\" class=\"data row4 col3\" >12500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col4\" class=\"data row4 col4\" >30000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col5\" class=\"data row4 col5\" >9926</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow4_col6\" class=\"data row4 col6\" >12.13%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row5\" class=\"row_heading level0 row5\" >0</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col0\" class=\"data row5 col0\" >南京</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col1\" class=\"data row5 col1\" >13599</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col2\" class=\"data row5 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col3\" class=\"data row5 col3\" >12500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col4\" class=\"data row5 col4\" >27500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col5\" class=\"data row5 col5\" >5450</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow5_col6\" class=\"data row5 col6\" >6.66%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row6\" class=\"row_heading level0 row6\" >7</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col0\" class=\"data row6 col0\" >大连</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col1\" class=\"data row6 col1\" >13497</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col2\" class=\"data row6 col2\" >4624</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col3\" class=\"data row6 col3\" >11000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col4\" class=\"data row6 col4\" >35000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col5\" class=\"data row6 col5\" >3718</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow6_col6\" class=\"data row6 col6\" >4.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row7\" class=\"row_heading level0 row7\" >17</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col0\" class=\"data row7 col0\" >东莞</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col1\" class=\"data row7 col1\" >12645</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col2\" class=\"data row7 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col3\" class=\"data row7 col3\" >12500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col4\" class=\"data row7 col4\" >23178</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col5\" class=\"data row7 col5\" >543</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow7_col6\" class=\"data row7 col6\" >0.66%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row8\" class=\"row_heading level0 row8\" >2</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col0\" class=\"data row8 col0\" >成都</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col1\" class=\"data row8 col1\" >12406</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col2\" class=\"data row8 col2\" >4912</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col3\" class=\"data row8 col3\" >11500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col4\" class=\"data row8 col4\" >27500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col5\" class=\"data row8 col5\" >3232</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow8_col6\" class=\"data row8 col6\" >3.95%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row9\" class=\"row_heading level0 row9\" >5</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col0\" class=\"data row9 col0\" >武汉</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col1\" class=\"data row9 col1\" >12146</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col2\" class=\"data row9 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col3\" class=\"data row9 col3\" >11000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col4\" class=\"data row9 col4\" >26000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col5\" class=\"data row9 col5\" >3395</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow9_col6\" class=\"data row9 col6\" >4.15%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row10\" class=\"row_heading level0 row10\" >9</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col0\" class=\"data row10 col0\" >苏州</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col1\" class=\"data row10 col1\" >12127</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col2\" class=\"data row10 col2\" >5000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col3\" class=\"data row10 col3\" >11500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col4\" class=\"data row10 col4\" >25000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col5\" class=\"data row10 col5\" >1923</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow10_col6\" class=\"data row10 col6\" >2.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row11\" class=\"row_heading level0 row11\" >14</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col0\" class=\"data row11 col0\" >西安</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col1\" class=\"data row11 col1\" >11930</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col2\" class=\"data row11 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col3\" class=\"data row11 col3\" >11500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col4\" class=\"data row11 col4\" >25000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col5\" class=\"data row11 col5\" >2755</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow11_col6\" class=\"data row11 col6\" >3.37%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row12\" class=\"row_heading level0 row12\" >19</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col0\" class=\"data row12 col0\" >重庆</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col1\" class=\"data row12 col1\" >11650</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col2\" class=\"data row12 col2\" >4700</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col3\" class=\"data row12 col3\" >10000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col4\" class=\"data row12 col4\" >40038</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col5\" class=\"data row12 col5\" >1348</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow12_col6\" class=\"data row12 col6\" >1.65%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row13\" class=\"row_heading level0 row13\" >20</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col0\" class=\"data row13 col0\" >宁波</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col1\" class=\"data row13 col1\" >11463</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col2\" class=\"data row13 col2\" >5233</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col3\" class=\"data row13 col3\" >10600</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col4\" class=\"data row13 col4\" >22386</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col5\" class=\"data row13 col5\" >936</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow13_col6\" class=\"data row13 col6\" >1.14%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row14\" class=\"row_heading level0 row14\" >8</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col0\" class=\"data row14 col0\" >长沙</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col1\" class=\"data row14 col1\" >11417</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col2\" class=\"data row14 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col3\" class=\"data row14 col3\" >11000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col4\" class=\"data row14 col4\" >25000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col5\" class=\"data row14 col5\" >2008</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow14_col6\" class=\"data row14 col6\" >2.45%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row15\" class=\"row_heading level0 row15\" >24</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col0\" class=\"data row15 col0\" >长春</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col1\" class=\"data row15 col1\" >11066</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col2\" class=\"data row15 col2\" >3984</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col3\" class=\"data row15 col3\" >8409</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col4\" class=\"data row15 col4\" >20000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col5\" class=\"data row15 col5\" >450</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow15_col6\" class=\"data row15 col6\" >0.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col0\" class=\"data row16 col0\" >厦门</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col1\" class=\"data row16 col1\" >11024</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col2\" class=\"data row16 col2\" >3750</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col3\" class=\"data row16 col3\" >10500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col4\" class=\"data row16 col4\" >22500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col5\" class=\"data row16 col5\" >623</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow16_col6\" class=\"data row16 col6\" >0.76%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row17\" class=\"row_heading level0 row17\" >25</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col0\" class=\"data row17 col0\" >天津</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col1\" class=\"data row17 col1\" >10607</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col2\" class=\"data row17 col2\" >5000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col3\" class=\"data row17 col3\" >9000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col4\" class=\"data row17 col4\" >25000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col5\" class=\"data row17 col5\" >726</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow17_col6\" class=\"data row17 col6\" >0.89%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row18\" class=\"row_heading level0 row18\" >12</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col0\" class=\"data row18 col0\" >福州</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col1\" class=\"data row18 col1\" >10561</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col2\" class=\"data row18 col2\" >5900</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col3\" class=\"data row18 col3\" >10416</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col4\" class=\"data row18 col4\" >20000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col5\" class=\"data row18 col5\" >1252</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow18_col6\" class=\"data row18 col6\" >1.53%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row19\" class=\"row_heading level0 row19\" >22</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col0\" class=\"data row19 col0\" >合肥</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col1\" class=\"data row19 col1\" >10052</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col2\" class=\"data row19 col2\" >5000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col3\" class=\"data row19 col3\" >10000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col4\" class=\"data row19 col4\" >20000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col5\" class=\"data row19 col5\" >1268</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow19_col6\" class=\"data row19 col6\" >1.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row20\" class=\"row_heading level0 row20\" >11</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col0\" class=\"data row20 col0\" >郑州</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col1\" class=\"data row20 col1\" >9460</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col2\" class=\"data row20 col2\" >5000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col3\" class=\"data row20 col3\" >9000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col4\" class=\"data row20 col4\" >17500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col5\" class=\"data row20 col5\" >943</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow20_col6\" class=\"data row20 col6\" >1.15%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row21\" class=\"row_heading level0 row21\" >18</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col0\" class=\"data row21 col0\" >青岛</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col1\" class=\"data row21 col1\" >9373</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col2\" class=\"data row21 col2\" >4276</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col3\" class=\"data row21 col3\" >8000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col4\" class=\"data row21 col4\" >25000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col5\" class=\"data row21 col5\" >964</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow21_col6\" class=\"data row21 col6\" >1.18%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row22\" class=\"row_heading level0 row22\" >21</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col0\" class=\"data row22 col0\" >济南</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col1\" class=\"data row22 col1\" >9354</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col2\" class=\"data row22 col2\" >5250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col3\" class=\"data row22 col3\" >9000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col4\" class=\"data row22 col4\" >16685</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col5\" class=\"data row22 col5\" >1712</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow22_col6\" class=\"data row22 col6\" >2.09%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row23\" class=\"row_heading level0 row23\" >15</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col0\" class=\"data row23 col0\" >昆明</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col1\" class=\"data row23 col1\" >8746</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col2\" class=\"data row23 col2\" >5000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col3\" class=\"data row23 col3\" >8250</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col4\" class=\"data row23 col4\" >15500</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col5\" class=\"data row23 col5\" >773</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow23_col6\" class=\"data row23 col6\" >0.94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row24\" class=\"row_heading level0 row24\" >13</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col0\" class=\"data row24 col0\" >沈阳</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col1\" class=\"data row24 col1\" >8462</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col2\" class=\"data row24 col2\" >3750</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col3\" class=\"data row24 col3\" >7000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col4\" class=\"data row24 col4\" >23477</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col5\" class=\"data row24 col5\" >938</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow24_col6\" class=\"data row24 col6\" >1.15%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031eflevel0_row25\" class=\"row_heading level0 row25\" >23</th>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col0\" class=\"data row25 col0\" >哈尔滨</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col1\" class=\"data row25 col1\" >7581</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col2\" class=\"data row25 col2\" >3461</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col3\" class=\"data row25 col3\" >7000</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col4\" class=\"data row25 col4\" >14175</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col5\" class=\"data row25 col5\" >206</td>\n",
       "                        <td id=\"T_7f171ab0_74f6_11ea_84cd_701ce71031efrow25_col6\" class=\"data row25 col6\" >0.25%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1ff86824188>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_java=get_sub_stats_by_col(data[(data.pl_java==1)],'city')\n",
    "data_java.style.format(data_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年4月北京招收Java程序员7910人。2019年4月北京Java程序员平均工资18035元，工资中位数15000元，其中95%的人的工资介于7000元到42712元。\n",
      "\n",
      "2020年4月深圳招收Java程序员9758人。2019年4月深圳Java程序员平均工资17336元，工资中位数15000元，其中95%的人的工资介于7000元到40000元。\n",
      "\n",
      "2020年4月上海招收Java程序员14429人。2019年4月上海Java程序员平均工资17323元，工资中位数15500元，其中95%的人的工资介于7000元到37500元。\n",
      "\n",
      "2020年4月杭州招收Java程序员4616人。2019年4月杭州Java程序员平均工资16263元，工资中位数14500元，其中95%的人的工资介于6554元到40000元。\n",
      "\n",
      "2020年4月广州招收Java程序员9926人。2019年4月广州Java程序员平均工资14498元，工资中位数12500元，其中95%的人的工资介于6000元到30000元。\n",
      "\n",
      "2020年4月南京招收Java程序员5450人。2019年4月南京Java程序员平均工资13599元，工资中位数12500元，其中95%的人的工资介于5250元到27500元。\n",
      "\n",
      "2020年4月大连招收Java程序员3718人。2019年4月大连Java程序员平均工资13497元，工资中位数11000元，其中95%的人的工资介于4624元到35000元。\n",
      "\n",
      "2020年4月东莞招收Java程序员543人。2019年4月东莞Java程序员平均工资12645元，工资中位数12500元，其中95%的人的工资介于5250元到23178元。\n",
      "\n",
      "2020年4月成都招收Java程序员3232人。2019年4月成都Java程序员平均工资12406元，工资中位数11500元，其中95%的人的工资介于4912元到27500元。\n",
      "\n",
      "2020年4月武汉招收Java程序员3395人。2019年4月武汉Java程序员平均工资12146元，工资中位数11000元，其中95%的人的工资介于5250元到26000元。\n",
      "\n",
      "2020年4月苏州招收Java程序员1923人。2019年4月苏州Java程序员平均工资12127元，工资中位数11500元，其中95%的人的工资介于5000元到25000元。\n",
      "\n",
      "2020年4月西安招收Java程序员2755人。2019年4月西安Java程序员平均工资11930元，工资中位数11500元，其中95%的人的工资介于5250元到25000元。\n",
      "\n",
      "2020年4月重庆招收Java程序员1348人。2019年4月重庆Java程序员平均工资11650元，工资中位数10000元，其中95%的人的工资介于4700元到40038元。\n",
      "\n",
      "2020年4月宁波招收Java程序员936人。2019年4月宁波Java程序员平均工资11463元，工资中位数10600元，其中95%的人的工资介于5233元到22386元。\n",
      "\n",
      "2020年4月长沙招收Java程序员2008人。2019年4月长沙Java程序员平均工资11417元，工资中位数11000元，其中95%的人的工资介于5250元到25000元。\n",
      "\n",
      "2020年4月长春招收Java程序员450人。2019年4月长春Java程序员平均工资11066元，工资中位数8409元，其中95%的人的工资介于3984元到20000元。\n",
      "\n",
      "2020年4月厦门招收Java程序员623人。2019年4月厦门Java程序员平均工资11024元，工资中位数10500元，其中95%的人的工资介于3750元到22500元。\n",
      "\n",
      "2020年4月天津招收Java程序员726人。2019年4月天津Java程序员平均工资10607元，工资中位数9000元，其中95%的人的工资介于5000元到25000元。\n",
      "\n",
      "2020年4月福州招收Java程序员1252人。2019年4月福州Java程序员平均工资10561元，工资中位数10416元，其中95%的人的工资介于5900元到20000元。\n",
      "\n",
      "2020年4月合肥招收Java程序员1268人。2019年4月合肥Java程序员平均工资10052元，工资中位数10000元，其中95%的人的工资介于5000元到20000元。\n",
      "\n",
      "2020年4月郑州招收Java程序员943人。2019年4月郑州Java程序员平均工资9460元，工资中位数9000元，其中95%的人的工资介于5000元到17500元。\n",
      "\n",
      "2020年4月青岛招收Java程序员964人。2019年4月青岛Java程序员平均工资9373元，工资中位数8000元，其中95%的人的工资介于4276元到25000元。\n",
      "\n",
      "2020年4月济南招收Java程序员1712人。2019年4月济南Java程序员平均工资9354元，工资中位数9000元，其中95%的人的工资介于5250元到16685元。\n",
      "\n",
      "2020年4月昆明招收Java程序员773人。2019年4月昆明Java程序员平均工资8746元，工资中位数8250元，其中95%的人的工资介于5000元到15500元。\n",
      "\n",
      "2020年4月沈阳招收Java程序员938人。2019年4月沈阳Java程序员平均工资8462元，工资中位数7000元，其中95%的人的工资介于3750元到23477元。\n",
      "\n",
      "2020年4月哈尔滨招收Java程序员206人。2019年4月哈尔滨Java程序员平均工资7581元，工资中位数7000元，其中95%的人的工资介于3461元到14175元。\n",
      "\n"
     ]
    }
   ],
   "source": [
    "describe(data_java, 'Java程序员')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1040x1040 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_city_map(data_java, 500, f'{year}年{month}月中国大陆主要城市【Java工程师】工资')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "history_data = pd.read_sql(sql='select * from CityStats', con=conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/P8FjW2rYfsjZCGXd8jJ+8+ryCbk2NSgwi4iIyBRwsr2Hn+44wtPbj1DX0u1sMLJ0OvcsK9NudhfQh0daeHRLNS9/XI/HGG5dUMyDKyu5tHRiTZxUYBYREZFJqXdFhw3bDvPqJ8cJRy1Xz8zlvuUzuHH+5NhgZKI40tTFD945xE92HKYzGOGqqlweWlnJdbMnxqi+ArOIiIhMKq3dITbtcjYYOehuMLLW3WBkMi99NhG0dvdvhHK8rYdZBWk8uLKC268Y3xuhKDCLiIjIpPDhkRY2bKvlZx8eoycU5YrpWdy3Yga3TqENRiaKYDjKzz8+xqOba/isvo28tAS+dmU5962YQU5qQry7dxoFZhERERkXrLWEo5ZgOOrcIs59YNDzYDhKKOK2R6I0dQTYtLuOj+taSfZ7uWNhCeuXz5hwdbJTkbWWdw828uiWat7ce4okv4e1i6fxwDWVVOSlxrt7fRSYRUREpqDB4TQ2gA4OrH2hNfZYONL/PBIbciOjCrzBSJSQex97/Fyjx+zCNO5bMYM7FpaSoQ1GJqR9J9p5bEs1z79/jFA0yk3zCnno2spxsRa2ArOIiMhFFI3avpAYCEcIhNzQ2Hcf6QuQvefEhs5A+PTjgQHH3TB7WsAdu3A6lASvhwSfexvmcaL73B973G1LHOq1Mc8TfTGvG3TNJL+X0qzkuIcqGRsn23v40Xu1/GhrLS1dIS6fnsVDKyv40iXx2whFgVlERKYEay2hiO0Lpb0hNTaIDhVChzweckZST3v9ENccGGSdoHq+jKEvfCb6ve69h0Sf1wmRw4XXQeF0uAA6cuD1uq81A85RWJWx1hUMs2mXsxHKocYupmUn88Q3l8Vl4uZIgXlib8kiIiJThrWWho4gB091cPBUB9WnOvvuW7qCfSOrYzEOFDvimdgXJL39bX4P6Uk+En1eEv2evjCb4PW6oXaI1/TdYtsGXjM2HPu9RgFVJr2UBB/3X1nOuuUzeP3zEzz/fh1lOSnx7tZpFJhFRGRcCYaj1DZ2ctANxLHhuL0n3Hdest9LRV4qC6ZlkpeWeFq4PS3IDgqlibEjqr2vcUdSJ8KasSKTiddjWH1JEasvKYp3V4akwCwiInHR1OmOFp/soLqhs+/+cFMXkWj/MHFRRhKV+anccUUpVfmpVOanUVWQRnFGkoKtiFwUCswiInLBhCJRDjd1xZRPdPSNHLd0hfrOS/B5qMxLZX5xBrcuKKYqP42q/DQq8lNJS9SPKhGJL30XEhGR89baFeLAoEBcfaqD2sYuwjGjxfnpiVTmpfLly5xQXJmfysz8NEqykvFqtFhExikFZhERGZVI1HK0ucsto+ikusG5P3iqg8bOYN95fq+hPDeVWQXprL6kyBktLkijIi+VzGStnSsiE48Cs4iIDNDWE6L6VKc7Wtw/4e5QQ9eA5dJyUxOozE/lpvmFfaPFVflpTMtOjts6qiIiF4ICs4jIFBSNWupaut1VKAaG45Ptgb7zfB5DWW4KVflpXD+3wK0tTqUyL43s1IQ4fgIRkYtHgVlEZBLrDISd0eIGZzWKg+5qFDUNnQTC/aPFmcl+qvJTuW52vrMKRX4qVQVplOWk4NdosYhMcQrMIiKTyDsHGnj10+N9o8X1rT19xzwGynJSqMxPY+WsPLeMwgnHOakJ2iRDRGQYCswiIpOAtZZ/eaua//nqHlITfFQVpHFlVW5fCUVVfhpluSkk+rzx7qqIyISjwCwiMsEFwhH+6NlP2LT7KLddXsLfrF1Akl/BWERkrCgwi4hMYI0dAb71o13srG3mP900m+98YaZKK0RExpgCs4jIBLX3eDsPPLGDho4A/7RuEbcsKI53l0REJiUFZhGRCeiNPSf4zlPvk5bk46ffupIF07Li3SURkUlLgVmmnGjUsvdEO7WNXSyekU1+emK8uyQyatZaHn+7hv/x8ufML8ngsa8tpSgzKd7dEhGZ1BSYZdILR6J8Vt/G9pomtlY3seNQE63dob7jl5ZmcN3sfFbNKWDh9CztUCbjVjAc5U9/9glPbz/CzZcW8b++ejkpCfo2LiJyoek7rUw6wXCUj+ta2FrdxPaaJnbVNtMRCAMwIzeF1ZcUsqwilxm5KWyrbuStfaf4l7eq+adfHyQ9ycc1M/O4bnY+183JpzgzOc6fRsTR3BnktzbsYmt1E9/5wky+e+NsPB5N7hMRuRiMtTbefRjWkiVL7M6dO+PdDRnnekIR3j/cwraaRrbXNLH7cDM9IWcHs5kFaSyvyGFZRQ7LK3KH/dN1a3eIdw408NbeU7y17xTH25zNHuYUpnPdnHxWzc5ncXm21rCVuDhwsoMHnthBfWsPf7N2AbdfURrvLomITDrGmF3W2iVDHlNglommIxBmV20z292A/OGRVoKRKMbAvKIMllXksKIyhyXlOeSlnX19srVOjXNveN5xqIlQxJKS4OWqqlyum1PAqtn5TM9JuQCfTmSgzftO8e2ndpPo8/LI1xazqCw73l0SEZmUzjswG2MKgY3W2pXGmErgUSAX2GSt/QtjjB94FsgBHrfW/tto20Z6XwVmAWjtCrHjUBPbDzWxrbqRT461EYlavB7DpaWZLK/IYXlFDktm5JCZ4h/z9+8IhHnvYCNv7TvJm3tPcbS5G4DKvFSum5PPdbPzWVGZq40iZMw98e4h/vylz5hdmM5jX19CaZZKhERELpTzCszGmGzgaaDAWrvIGPO/cYLyO8aYt4E7gfuBDGvtnxljXgbuBh4aTZu1tn2491ZgnpoaOwJsr2lim3vbc7wNayHB6+Hy6Zksr8hlWUUOi2Zkk5Z4ccvwrbVUN3T2jT5vrW4kEI6S6POwojK3r/a5Mi9Vm0fIOQtFovz5i5/xo6213DivkH+45wpSL/L/dRGRqWakwDya78ARnLD7gvu8EVhgjDkAJAItwCrge+7xzcCSs2j79ag/iUxKx1t72FbTyLYaZ5LegZMdACT5PSwqy+b3bpjNsoocFpZlxX0U1xhDVX4aVflpfPOaCnpCEba6Ewff2nuKP3/pM3gJpuckO+F5dgFXVeUq7MiotXaF+PZTu3n7QAPfuq6S/7J6rib3iYjE2Rl/iltr24DY0bJfAL8DTAPeAMJAKlDnHm8CCs+ibQBjzMPAwwBlZWVn+XFkvLPWcrS52xk9rm5k+6Emahu7AEhL9LF4RjZ3LSpleUUOl5VmkeAb30u8Jfm9rJpTwKo5BXAbHG7s4q39Tnh+dncdT249jN9rWFqe07d03ezCNI0+y5BqGjp54Ic7ONLcxd+sXcBXlkyPd5dERIRzW1bue8BXrbXWGPN/gJuADiAZaAXS3OejbRvAWvsI8Ag4JRnn0D8ZR3pLGLb3BuSaJo61OitQZCb7WVaRw/0rZrCsIof5xRkTfg3kstwU7s+dwf0rZhAIR9h1qJm39p3izb2n+KtX9vBXr+yhKCOpr3Tj6pl5ZCaPfd21TDzvHmjgtzbsxusxPPXQCpaW58S7SyIi4jqXwFwBTDfGnAQWAS8Cu4BrgI3A5cDWs2iTSSQatew72e4GZKcGuaEjAEBeWgLLK3L5VkUOyytzmF2QPqn/1Jzo83LVzDyumpnHH355HvWt3Wx2w/PLH9fzk51H8HoMi8qy+kaf5xdnTOqviQxtw7Za/vSFT6nMT+Xxry/VCiwiIuPMqJeVM8a8aa1dZYy5BfhHIB94CbgPpzzjZeB14CpgxWjbrLWR4d5Tk/7Gv3Akyuf17X01yDsONdHS5eyiV5yZ5K6BnMvyyhxNhIsRikT54EgLb+49yVv7TvFJXRvg/FJx7Sxn9HnlrHxyUhPi3FO5kMKRKP/95c/5wTuHuH5OPv/n3oWkJ+kvDiIi8XBR1mE2xpTgjB6/aq1tPZu24Sgwjz/OLnqtfZuE7DzUv4teWU5K3yYhKypzmZadrIA8SqfaA2zZ74w+b9l/iuauEMbAgmlZrHLLNy6floVXo8+TRltPiN95+n3e3HuKB66p4I++PE//viIicaSNS+Sc9YQifHCkhW3VTWw/1Miu2oG76C1z10BeVpGjbaTHSCRq+biutW/0+YMjLVgLWSl+Vs5y1n2+dnYeBelD71oo49/hxi4eeGIHNQ2d/MUdl3LvMk1wFhGJNwVmGbXOvl30mthW0zhgF725RRl9m4QsrTi3XfTk7DV3BtkSs213b034/OIMVrkbpyyakY1/gk+YnCq2VTfyH57chQX+ef1irqzKjXeXREQEBeYxZa3FWohYS7T3cdR5HI1C1Nq+Y33PowNfE41aonbkY05777Vw2637Xs5ro0McG+5asef3Xdvtn7WWjkCEXYeb+aSutX8XvZIMdwQ5l6XlF2YXPTk70ajls/o2Z93nfafYVdtMJGpJT/Rx9cy8vp0HS7Qj3Lj0051H+OPnPmZ6Tgr/9vWllOelxrtLIiLiUmA+C/Wt3Xzp77f0h9BBoTQ6fr9c58wY8Hs9LCjNZHmlM0lvcRx20ZOz19YT4t0DDX1L19W7S/bNLkzr2zhlaUU2iT5t2x1Pkajlr3+xh0c2V7NyVh7/d90iLScoIjLOKDCfhdauEH/3+j6MAa8xeDwGjzF4DHg9BtP7eJhjXkNMu8HrwW03eDz0tY90zLnW6e8x4FjMe3hin3v6+2fc8z0D+jTwfTwGTcybJKy17D/Z0Ve6sb2miWAkSrLfy1VVuVw3J5/r5xRoybKLrCMQ5vd+/D6vf36Sr105gz+5df6EX29cRGQyUmAWmYI6A+G+bbvf3HuKw01dGAM3zSvk4WsrWaKNMS64o81dPPjETvaf7OBPb5vP164sj3eXRERkGCMFZv3NXWSSSk30ccO8Qm6YV4i1lpqGTp57v44fba3ltc9OsKgsi4evreSm+UVazuwC2FXbxLd+tItAOMoPv7GUlbPy490lERE5RxphFpliuoJhntl5lMferuZIUzczclN48JoK1i6eTnKCap3HwrO7j/K9TR9TkpXEY19fysyCtHh3SUREzkAlGSJymkjU8uqnx/nXzdV8eKSF7BQ/96+YwdeuKteSgecoGrX87Wt7+f/ePMiVlbn8832LyErRbo0iIhOBArOIDMtay87aZv71rWpe//wECT4PaxZN48GVFVTla2R0tLqCYf7TTz7kF58e595l0/nz2y/V2tgiIhOIaphFZFjGGJaW57C0PIeDpzp4bEsNm3Yf5enth7nRnSC4tDxbq6mMoL61mwef2Mnn9W3811vn882ry/X1EhGZRDTCLCKnaegI8O/v1fKj9w7R3BXiiunOBMHVl2iC4GAfHGnhoX/fSXcwwj/eu5Dr5xbEu0siInIOVJIhIuekOxhh464jPPZ2DbWNXZTlpPDANRV8Zck0UhL0B6oXPzzGf37mQwoyEnn860uZXZge7y6JiMg5UmAWkfMSiVp++ZkzQfD9wy1k9U4QvLKc/PSpN0HQWsvfv76ff/jVfpaWZ/Mv9y0mVxMlRUQmNAVmERkzu2qbeGRzNa99dgK/18NdC0t5cGUFMwumxuhqTyjC7z/zIT//qJ61i6fx3++8VFuPi4hMAgrMIjLmqk918PjbNWzcdZRAOMoNcwt4+NpKllXkTNoJbyfaenj433fyUV0r3/vSXB6+tnLSflYRkalGgVlELpjGjgA/2lrLv79XS1NnkMunZfLQtZV86ZIifJNoWbVP6lp58ImdtPWE+Id7FnLT/MJ4d0lERMaQArOIXHA9oQgbdx3l8bdrqGnoZFp2Mg9cU8FXl0wnNXFiTxB85eN6vvvTD8hJSeCxry9lfklGvLskIiJjTIFZRC6aSNTy+ucneHRzNTtrm8lM9nPfijK+fmU5BRlJ8e7eWbHW8k+/PsDfvraPhWVZ/Ov9iylIn1ifQURERkeBWUTiYldtM49urubVz47j93i4Y2EJD62sZNYEWH6tJxThe5s+4vkPjnHHFSV8f80Ckvya3CciMlkpMItIXB1q6OTxt2t4ZtcRekJRvjC3gIdWVrKicnxOEDzVHuBbP9rJ7sMt/Ocvzubb188cl/0UEZGxo8AsIuNCU2eQJ7fW8sS7h2jsDHJZqTNB8MuXjp8Jgp/Xt/HgEztp7Azwd1+9gpsvK453l0RE5CJQYBaRcaUnFOHZ3XU8tqWa6oZOSveSw9cAACAASURBVLPcCYJLp5MWxwmCv/zsBL/74/fJSPLz2NeXcGlpZtz6IiIiF5cCs4iMS9Go5Vd7TvLo5mq2H2oiI8nH+hUz+M2ryim8iBMErbU8srma7/9iD5eVZvLo15Zc1PcXEZH4U2AWkXHv/cPNPLalhlc+qcfrMdx+RSkPX1vJ7As8QTAQjvDHz33Cxl1HuWVBMX+79nKSEzS5T0RkqlFgFpEJ43BjF4+/Xc1Pdx6lOxRh1Zx8Hl5ZyZVVuWM+8a6xI8BvPbmb7Yea+N0bZvF7N87S5D4RkSlKgVlEJpzmziAbttXyw3draegIcElJBg9fW8mXLyvGPwYTBPedaOeBJ3Zwoi3A337lcn7j8pIx6LWIiExUCswiMmH1hCK88EEdj2yu5uApZ4LgN64u555lZec8QfDXe0/ynafeJznByyP3L2ZhWfYY91pERCYaBWYRmfCiUcuv957kkc3VbKtpIj3Jx7rlZXzjqgqKMkc3Qc9ay7+9c4j//vPPmFuUwWNfX0JJVvIF7rmIyDk4tQ+O7oDSRZA/F1QudsEpMIvIpPLhkRYe3VLNyx87EwR/4/JSHrq2grlFGcO+JhSJ8icvfMrT2w+z+pJC/u7uK0hJiN8SdiIiA1gLx3bD5y/BnpegYV//sawymLUaZn8Jyq8Bv1bxuRAUmEVkUjrS1MXjb9fw051H6ApGuHa2M0Hw6pkDJwi2dAX5rSd38151I9++vorfv2kOHo9Ga0QkziJhqH3HCch7fg5tdWC8TiiedxuUXQl1O2Hfq1D9JoS6wJ8Clatg1hdh9mrI0PyLsaLALCKTWktXkA3bDvPDdw9xqj3A/GJnguAtC4o53NTFAz/cwbGWHr6/5jLuWjQt3t0Vkaks1A0H33BGkve9At3N4EuGmTfA3FudEJySM8TreuDQ27D/Vdj3C2g57LQXXdY/+ly6CDxaFvNcKTCLyJQQCEd44f1jPLKlmgMnOyjOTKIzEMbv9fDI1xazeMYQP4RERC607hZnlHjPi3DgV85IcVImzL4Z5t0KVTdAQsror2ctnNrrBOf9r8HhrWAjkJLrjDzP+iJUfQGSsy7cZ5qEFJhFZEqJRi1v7TvFo1uq6QxG+Kd1C5mWfRY/jEREzlf7cafU4vOX4NAWiIYhvRjm3uKMJJdfA17/2LxXd7MTxPe/5ty6m8Hjc0o6Zn3RGX3Om6WJg2egwCwiIiJyoTUe7A/JR3cAFnKqnFHkeb8BJYvAc/7ryI8oGoGjO/tHn0984rRnlzvBedYXnbDuS7yw/ZiAFJhFRERExpq1cPyj/pUtTn7mtBdfDnNvc4JyvJeEazniBOd9r0LNWxDuAX8qVF3fX76RURy//o0jCswiIiIiYyEacWqGe0eSWw+D8UDZVU5AnnuLswzceBTscspD9r3qhOjWI0578eXu6PNqKFl44UfBxykFZhEREZFzFepxRmc/fxH2vgJdDeBNdEZp594Kc26G1Lx49/LsWOuMiO971bkd3Q42Cqn5AycOJg2/vv1ko8AsIiIicjZ62pxR2D0vwf5fQrADEjOcIDnvVph5IySmx7uXY6erCQ687oTnA7+Enlbw+GHGlf2jz3kz493LC0qBWURERORMOk7C3pedUouatyAShNQCmPtlpya5YuVFmSxnrYVQCACTkHDB3+80kbAz4rzvF7DvNTj1udOeU+WsEz3rizDjavDFoW8XkAKziIiITFq9AdOGw/23UBjCIWwk0vfchkMQc9yGw9iWOji0FXt4B/bkfqwFm5QHBZdh8y/BppVgIxHndaGY6/de67S2yMDnA44P1xbu71c4DJGI88E8HtJv+ALZ69aRsmLFgB1ML6rm2piJg5shEoCEdKha5Yw+z7wJ0gvj07cxpMAsIiIiE1Kovp6WZ5+l/RevEmlvdwLloHDcFzAvBp8PE3PD78P4/Biv12nz+8DnH3CO0+aeF9vmHeEcv49IczOtL/yMSEsLCVVVZN97L5l33I43Le3ifd7Bgp1OaO4dfW4/5rSXLOxftq74igk5cVCBWURERCYMGwzS/savadm0ic633wZrSVm+HP+00v5wOkTANL5h2rxeTEsN5vhuzLGd0HUCY8AUzcdUXYOpWgW5Zc7rYl/jHxh88fku+ihvNBCg7ZVXaN7wFD0ff4wnJYXMO24ne906EmfGuabYWjj+sbtd96vO+s9YSCuEWTc5Abpy1YSp9VZgFhERkXEvcOAALRs30fqznxFpasJXVETWXXeSedddJEybdnYXCwedkdA9L8Kel6HzpDOJrfI6d2WLL0+4MoLujz6iecNTtL3yCjYYJGX5crLXrSP9hi84gT7eOhucCZL7X3V2Hgy0OV/z8mv6a59zq+Ldy2EpMIuIiMi4FO3spO2VV2jZuInuDz4Av5/0668na+0aUq++GuP1jv5igQ5npYc9LznlAoFWZ5OOWTfBvNuc+6TMC/dhLpJwczMtGzfS/PTThI/V4ysqIvvur5L1la/gyxsny9tFQs561b2jzw37nPbcWU54nr3a2bp7rLYHHwPnHZiNMYXARmvtSmPMfwOucw8VAU8Afws8C+QAj1tr/80Y4x9N20jvq8AsIiIy+Vhr6fnwQ5o3bqT95VeIdnWRUFVF1po1ZN7+G/hyc0d/sc5G2PeKs7LFwTecCWkpuc7ayHNvc0oC/EkX6qPElY1E6HjzTZo3PEXnu++C30/G6tVkr19H8hVXxG+S4FCaqp1fYva/CofedlYgScxw1nqevdqZOJiWH9cunldgNsZkA08DBdbaRYOObQR+F7gbyLDW/pkx5mX3+UOjabPWtg/33grMIiIik0e4qYnWF35Gy6aNBA8cxKSkkHHzl8has5bkhWcR8FqOwJ6fOyPJte84G25kTndKLebdCtNXgHcclChcRIHqGpqffprW554j2tFB4vx55KxfT8Ytt+BJGme/MAQ6oPpNZ+Lg/l9Cx3HAQOliJzwv+WZcNoI538CcARjgBWvtqpj2pcB6a+3vGWN+BnzPWvuZMeZ7wDbgu6Nps9b+erj3VmAWERGZ2GwkQue779GycSPtb7wBoRDJl19O5to1ZNz8ZbxpqWe+SKADmmucgPX5S1D/gdOeP8/djvpWZ3vn8TSiGifRzk5aX3yR5g1PEdi/H09mJllr1pB97z0kTJ8e7+6dLhqF4x+523W/Csc+gN/fG5fR5pEC8xl//bLWtrkXGXzod4E/dR+nAnXu4yag8CzaBnf2YeBhgLKycboXu4iIiIwoeLSO1mefpeW55wjX1+PNyiJn3Tqy1q4hcdYs5yRrnR3m2o45t3b3vq3Ova937gOt/RcuXQI3/jenJnkcTyCLF09qKtn33EPW3XfTtWMHzU89TdMTT9D0gx+Qdu21ZK9fR+o112DGy7JvHg+UXOHcVv0X5/9DSk68e3Wac/p7hTEmC6dE46Db1AEkA61Amvt8tG0DWGsfAR4BZ4T5XPonIiIiF180GKTj9ddp2biJzvfeAyB1yWUUrr+BtHk5eLpPwMd/A+8c6w/J4e5BVzHOsmQZJU4grljpPM6YBuVXO4/ljIwxpC5bRuqyZYROnKDlJz+l+Zmf0vHwt/CXlZF9771k3XUn3sxxNglyHIZlOItVMowxb/aWZBhjvg5kW2v/3n3+J8Bn1tqNxpgngH8FbhxNm7X23eHeUyUZIiIi41AkBO3H+0aDez77mJZf7aBtRy2RrjC+NMiq6CCrvBN/asymIh4fpJe4AXjwrdS5TyscVysnTCY2GKTtl7+k+amn6d61C5OUROZtt5K9bh1J8+bFu3txd14lGcNYjbMyRq8ngJeNMSuB+Tj1ynWjbBMREZHxItTdP/rbWx7RXj+wVKLjJJEQtNUm01KdQk9TAngs6RU+spYUk3rZTExW6emBOCVvQu4AN1mYhAQyb7mFzFtuoWfPHpo3PEXriy/S8sxGkhctInvdOjK+eBMmISHeXR13xmwdZmNMCXAN8Kq1tvVs2oajEWYREZExYq2zkcSAMDxEIO5uPv21SZmQUYpNK6K7OZWWD1po230YGwiRWDGdrDV3kXHXV/HljM8/p8vwIq2ttDz7HM1PP03o8GG8eXlkf/UrZN19N/7CibWxy/nSxiUiIiKTmbXQ1eiOANfHTJobFIiDp00dgtR8ZwQ4fXB5RLFzn15MuL2H1hdeoGXjJoI1NXhSUsi45Ray1q4hacGC8bXer5wTG43S+c47ND+5gY7Nm8HjIf3GG8lev46UpUunxL+xArOIiMhk0FYPdbvg2G5oro1ZWaLe2bAjlvFAenF/CB4qEKcXgy9xyLey4TAdb79N66ZNtP/6TQiHSV64kKy1a8n40mo8qaNYDk4mpOCRIzQ//WNaNm0i2tpK4qyZZK9fT+Ztt03qf3cFZhERkYkm0A7H3ncCct0uOLrLCcfgTJ7LnNY/US69uP9xbxhOLTinzTuCR47QsmkTrc89T/jECbw5OWTecQdZa+4isUrLuE0l0e5u2l5+meYNT9Hz2Wd40tLIvOMOstetI7GyIt7dG3MKzCKTlbUQjUA0DNa9j0aGb7NRZ2F/4wGM+9h93tfmGXSOJ6bNjOKcQdcWkTOLhOHkZ1C3sz8cn9oDuD+jsyucXdCmLXHuixaM6XbP0UCA9td+ScumTXRt3QoeD6nXXE3W2rWkr1qlSWBTXO9W5k0bnqLtF7+AUIjUq64ke/160latwni98e7imFBgFukVjULnSWdb1Y4TEA3FhMnecBkepi06+mA6ZFgd6VpDtUX7jw1u631uo/H+ip7ZiKE6JoiPGNhj7s94zqDAnpgBebMgbzbkznIeZ07XTH2JH2uhpdYdOd4NR3dC/Yf96xEn5wwMx6WLL9jatD179tDyzEZaX3qJaGsr/tJSstauIfPOO/EXFV2Q95SJLdzQQMvGjTT/+CeEjx/HV1JM9j33krV2zYSf9KnALFNHqAdaj0LrkYH3LYed+7Y6iATP7z2MB4zX+ZOox+vefGdo8wx6PlTbCK8bbduZ+mWM88ManLBtrRu63fsh2+wwbUM8t3aEcwa3DXXd833/6OmfrbsJGvZDT0v/v6EvCXJnnh6kc2dCYtr5/f8QGayryak57g3Hdbugq8E55ktytnTuDcaliyG7/IL+dSbS3k7bz39OyzMb6fn0U4zfT/pNN5H1lbWkLF8+fnaAk3HNhsO0v/EGzU89TdfWrZiEBDJuvpns9etIXrAg3t07JwrMMjlY6yx31Bt+B4fh1iPQeWrQi4xT25c5DbKmO/eZ051behF4EwYGzAGBdpg2lRlMPL0rCDTsc8Jz733jfmg+NHCkPqPUDc9umM5zw3RGqf7t5czCATj+sVtW4Ybjpt5NcQ3kz3GD8SJni+fCSy7KJh3WWrp27KB10ybaXn0N29ND4pw5ZK1ZQ8Ztt+LLzr7gfZDJK3DgAM1PPU3r888T7eoi6bLLnDWdv3wznsShJ5WORwrMMjFEQs6M774wfMQpnWg92t8W6hr4Gl/yoDBcNvB5egn4VHsnIwgHoKm6P0g3HugP1IG2/vP8qZA3MyZIz3Tuc6ogISV+/Zf4iUadMBwbjo9/7JR6AaQVuWUVbjguucJZz/giCp08SevzL9C6aRPB2lo8aWnucnBrSbr0kimxVJhcPJGODlpfeIHmDU8RrK7Gm5VF1lfWknX3PSRMK413985IgVnGh562kcNwe/3pNbkpeaeH4b5APB1ScjXqJxeGtdBx0g3Pg4J0y2H6JmNhnP+LeYOCdO4s568Y+v85eXScHBiOj+2GHnf/rYQ0KFnYH45LF0NmfAKCDYfp2LyFlo0b6XjrLYhESF6ymKw1a8lY/UU8KfoFTy4say1d27bRvGED7b96A4C0VavIXreO1KuuHLdlPwrMcuFFo84kutaj0OqWSPQFYjcg9wza2NHjd36g9JZInFY2MQ38yfH5PCIjCXVD40GnpCO2xKNhP4Q6+89LSO8v6Yitl86pHNMVDuQCCHY6E/F6w3HdLuf7GDhlWoXz+4Nx6WKn1MIT35UCgocO0bLpWVqff57wqVN48/LIuuN2Mu9aMymXAJOJIVRfT/NPfkLLT58h0tREQnk52evWkXnnHXjT0+PdvQEUmOX8hbqhtW74MNxa1/9nyF5JmSOE4emQVhD3HzAiY8pa5y8lsQG693Hb0f7zjAeyytwR6dnuBES3Xjo1X6PSF1s04izhFhuOT37W/xevrLKB4bj48nFThhPt6aH9tddoeWYjXTt2gMdD2rXXkrV2DWnXXYfxX/j6aJHRiAaDtL/6Ks1PbqD7ww8xKSlk/sZtZK9bR9Ls2fHuHqDALKPR1eQsczRkGD56+mS63h2kesNwbJlEb1tSRnw+i8h4FOx0yzpignTjfmg40L+cGDi/aMau3NEbpLMrVI8/Fqx1VsuJDcfHPuj/y0BS1sAVK0oXQ1p+fPs8SKSjk8C+vbS++CJtL/2caHs7/rIysu66i8w778BfWBjvLoqMqPuTT2l+6inafv5zbCBAypIlZN+3nvQbbojrL3kKzDJQTxvUf+AscVS3y9lJqvdPjb38KcOPDGdOc3aTuggzu0UmvWjUGX0+LUjvd0arexmvs9xY7ModvSPUF2iN3kmhp7X/e13vreOEc8yb4GwA0huMpy1xymXGwQi/tZZIUxOBgwcJVlcTOFhN8OBBAtXVhI8fB8AkJJC+ejVZa9aQsmzpuK0LFRlOuLmZ1mefo/nppwkdPYqvoICsu79Kzvr1eLOyLnp/FJinsnAATnzi/sBwf2g07KN/96hy90+MVzg/KDKnOX9+TM4eFz80RKa0nrb+UenG3vKOA05bJNB/XnLOwAmHqQX963Ob2OURe+9j1+2OaRvwvHcZRc8Qrx/qmt6YzWXiJBx0v9/FhOOGff3Hc2fFhOPFUHgp+OK75JWNRgkdqydYfdAJxb33Bw8Sae2f92FSUkisqCChqpLEyioSqipJXbYMb+bFXXVD5EKwkQgdW7bQvOEpurZupepXr+MvKLjo/VBgniqiUeeHw7Hd/TtIxS5xlFrgzuBeDCWLnMcamRKZeKIRZ6WOvpU73CDdsM/ZyTKezGjD+FBh3jNow53RBnaPszRg/Uf9v0ik5vfXHU9b7KxgkRy/tYZtMEiwttYJwzXOiHGg+iDBmkPY7v6SHG9ODomVlSRUVZFYWUFCZRWJVZX4ioo0gixTQrixEV9ublzeW4F5MrLWqS3uXdqobrdThxdsd44npDtrfsYG5MxpGjUWmey6W5xNWmw0Zkv23vto//O+LdYjw5wbGbqt99wBrx907dit3E97fey54RFeP9z7D/P6jNKB20lnTo/L97tIR6cbiA8SPFhNoNoZLQ4eOQKRSN95/pISNxRXOqPGVVUkVFZqAxGROBopMPsudmfkHHU1xdQcu/e9E/G8Cc6fFi+/pz8g585yRnBEZGpJznJucsGMpr4YAJ+PhBkzSJw1i/Qvre4LxYkVFVoLWWSCUWAej3rX/4wNyM2H3IPu1qozb3LD8aJxUYcnIjLZnG19ccqypX31xYlVVSRMn65l3UQmCQXmeIuEnPU+e2uO63bDqc/71//MnO6E4sXf6F//U8u1iYiMGRsMEjx8eEAoHrK+ODubhKpK0levJrGqUvXFIlOIAvPFFI06E1MGTMr7CMI9zvHkHCccz7u1f1Je2sWfJSoiMhlFOzsJVNcMDMUHq5364nC47zx/SQkJlZWkLl3aF4oTqqpUXywyhSkwX0ht9QNrjo+93789tD/FGS1e+qAze7t0sbPEmybliYicl3BTk1NTHBOKA9XVhOtj1rXurS+eOZP01V9UfbGIjEiBeax0tziBuDcY1+3q33TAeKHwErjkzv4VK/LngldffhGR0YoGAkRaWoi0tDr3rS19z0NHjvStSBFpael7TV998dIlqi8WkXOmxHYuQt3O+saxk/IaD/Qfz6mC8pX9K1YUXQb+5Pj1V0RkHLGhEJHWVufW0uLcN7f0Px7qvqUF29Mz7DX76ou/+EXVF4vImFNgPpNoBE7tiZmUt8uZpBd1693SipxQfPm9TkCO8+L4IiIXi41EiLS1ER0i3PY/Pv1YtLNz+Iv6fHizsvBmZuLNysJfUkLS/PkD2vrus/qfe5I1KCEiF44C82CBdtj/Wv+KFfUfQKjLOZaYCaUL4arfcbdXXQQZJfHtr4jIebLWEu3o6B/pHRB83dDbenoQjra1OZsoDcUYvBkZeLOy8GRl4s3LJXFmFZ7TQm8W3sysvgDsSU3FaC6HiIwzCsyD9bTCxm+CNxGKF8Cir7krViyGnEptBiLjmrUWIhFsMIgNhfpv7nM8XvxFhZrUNIlFg0EijY2jGumNLXuI3YVuME9a2oCQm1A6rT/sZg0VgDPxZGSoFEJEJg0F5sEySuFbmyF/HvgS4t0bGWdsJDIggA4OpCMeC57FuWc6NsK5w474xfBmZuIrLsZfVISvuAh/cQn+4iL3eQn+wgJNiBqHbChE6MRJwieOE6o/Tvh4PaH644SOHydcX0/o+HEiTU3Dvt4kJw8ItomzZp1e6pCdNbAtI0P/F0RkylNgHswYZ7k3mXRsKESguobA3j307NlLsLYWGwicVSAlGh37jvn9ePx+J5QkOPcefwImwQ/+/ueelGTwO+HFk5DgnN97fJTPbThM6PgJQvXHCLtBq+v994nG7FoGgDH48vLwlRTjL3KCtb+kGF9RsROsi4vx5uZqBHEM2UiE8KlThI87/y5DBeJwQ8NpvxB50tLwFxfhKyom6ZJL8BUX4cvLG1Tq4JY7JGpHUBGRc6HALJNSuLmZwN699OzZQ2DPXnr27iV44IATegGTkEDCjBmYlGSM349JTMCTnuY87r25IfNcn3sSEvoC6+nPE/D0BuJxUK8Z7epyQtqx+piQVk+4vp7Avn10bN48YMczAPx+/IWFzqh0b7AuLnJGrt3Ra09Gxrj4fPFmo1EijY3O1/j48b5fVgYE4pMnTyuLMMnJzi8rxUUkrlzZ/xeBomL8RYX4iovxpqXF6VOJiEwdCswyodlIhGBtLYE9zqhxz14nIIdPnOg7x5ufR9KcuaRdfRWJc+aSNHcOCRUVGJ/++/fypKSQWFlJYmXlkMettURaWpzRz/rjzgh13+N6unfuou3kyQG7pfVet7f0wxmhdsNe7+PiYjxJSRfjI14wfV8btyRiQCB228InTvT9stbLJCS4X48iUpct7Ru97/26+AsL8WRm6hcOEZFxQIlBJoxIe7s7ary3r6wisH9//9qsPh+JlZWkLF9G0py5JM6dQ9Lcufhyc+Pb8UnAGIMvOxtfdjZJ8+YNeY6NRAg3NPQHx2P17ii1Ex579u4l0tBw2uu82dkxo6anl374Cgri9suNtZZoe3t/ecTxEwM+U7i+ntCJE6evD+zz4S8sxFdURPLll/eVTMQGYm92tsKwiMgEocAs446NRgkdPTqgnCKwZw+hurq+c7yZmSTOnUv23V8lce48Z9S4qsope5C4MF6vU6JRWMhwK+JGg0HCJ04MLP2od4J16OhRunbsINrePvBFHg++/HwnPPcG69jHJcV4c3LOKXxGOzsH1gsPEYijXV2n96egAH9REYnz5pF2/fWnBWJfXp7qu0VEJhFjRzGjPl6WLFlid+7cGe9uyAUU7eoisG/fgHKKwL59/RsbeDwkzJjhjBbHjhoXFmp0bpKKdHS6Ydq5hftGq/tLHGwgMOA1feUNsSt/uGHaJCQ4gdhdWSI2EEfb2k57f29+Xt9od2/JxIBAnJ+vch4RkUnIGLPLWrtkqGP6ri8XhbWWcH39wHKKPXsIHj7cN+vfk5ZG4pw5ZN5+e18wTpw1Szt4TTHetFS8M2eSOHPmkMettUSamweFaTcE19fTuX37kBPoIKb8Y9o0UpYscYN173J6xfgLCjD6K4WIiAyiwCxjLhoIENh/YEAw7tm3b8DSZf7p00maO4eM224jae4cEufOxV9aqlFjOSNjDL6cHHw5OXDJJUOeY8NhwqdOEao/jg0GnRUlioom/ARDERGJDwVmOS/hU6fo2bMnpt54D8GaQ32jeyY5mcTZs8hYvbp/1Hj2bC2FJReU8fmc8ozi4nh3RUREJgEFZhmVwZt+BPbscVY9aGzsO8dXXEzSnDmk33ijE4znzCGhrAzj9cax5yIiIiLnR4FZTjOaTT8SZ84k7brrnHKKOXNJmjMbb1ZWnHsuIiIiMvYUmCcoG42evoXzOd5Hg0GinZ0EDhw4fdOPvDyS5g7a9KO83Nl2WURERGQKUGAegQ2HRx04B7aHsKGge38egda9RjQUe13n+OAd1c6bz0diRQUpy5b1jxrPnYMvL29s30dERERkglFgHiR07BgHb/6yU34QjY7txX0+jN+PSUhw7/0Yv9/ZbMPvx+N32j2pqYPOO9t7/4Dnfdcf4XV4vVqhQkRERGQICsyDeNLTyb5v/YCwOaqQOppztPOXiIiIDGKjlrbGbhrrOmms63BvnbQ39pA3PY3S2dmUzsmiuCoLf6Im0seDdvoTERERuUh6OkJOID7WQePRDhqPddJ4rJNwwN1syUBmXjK5pWmk5SRy8lA7Jw+1EY1aPB5DQXkGpXOyKJ2TTVFlJv4EBeixop3+RERERC6iSChK84lOJxTXdfYF5M7WYN85Sal+cqelMv+qYnKnpZFbkkZOSeppo8jBnjDHq1up29tC3b5mdr96mF2v1OLxGQrLMyidk03p7GyKKjPw+RWgLwSNMIuIiIicI2stHc0Bd7S4f9S45XgX0aiTsTw+Q05xKrklaeSWppFbmkrutDRSMhLOaf5QsCdM/YFW6vY2U7evmVOH27EWvD4PRZW9ATqLwvJMvH6Vg46WRphFREREzlOgO0xTTI2xU1rRSbC7f+Wq9JwkcqelUbEgr2/UOLMwGa937IJrQpKPGZfmMuPS3L5+1e9v4ei+Zur2NrP9pRqw4PN70RNL7QAAIABJREFUKKrKpHR2FqWzsykoz8DrU4A+F6MKzMaYQmCjtXZlTNuLwH+11n5gjPEDzwI5wOPW2n8bbdsYfx4RERGR8xKNRGk50R0zAc+dhNfU03dOQrKP3NJUZi8tdINxKjmlaSQmX/yxyMRkH+UL8ihf4CwF29MZ4th+p3yjbl8L235WA9TgS/BQXJXZV8KRPyN9TIP8ZHbGf1VjTDbwBJAa07YeOGit/cBt+g6wy1r7Z8aYl40xzwAPjabNWts+5p9KRERE5AystXS1Bmms66ChroOmuk4a6jpoPt5JNOyWU3gMWUUpFFVlcsm1JW5JRRpp2YnjdjnWpFQ/lVfkU3lFPuBMNKzb74Tnur3NbH2+GgB/opfimZnuKhzZ5E9Pw6MAPaTR/BoUAe4GXgAwxuQA/wv4Z2PM9dbaXwOrgO+5528GlpxF26/P8zOIiIiIjCgUiNB4rD8UN7khOdDZX06RmpVIbmkqZfNynFHj0lSyC1MnfB1wUpqfqoUFVC0sAKCrLdg/Ar23mfeeOwhAQpKX4llO+Ubp7Czypqfj8YzPXwoutjMGZmttGxD7W9R3gWeAfwX+yhiTjjP6XOcebwIKz6JtAGPMw8DDAGVlZWf7eURERGQKi0Ytbae6aXAn4fUG5LaGbnDXOfAlesktSaVqYYEzAc8dNU5K9f//7d17fNxlnff/15WZZCaTw8zkfOohbZJSTj0QWkTAguINAoLL7g26eovCbxdXkRt2WVnXw/pz79VFVll1UU7eHlARXE/wkEV0AatAS6sISqEtbVqaNocmmcl5kpm57j++k2nOTduZzDR5Px+PPGbmO9/v5PqkafLONdchs42fJ77iPBrOqqDhLCdAD4QjHNx5ZAjHvpe7APD43FQ3BJwx0KuClNUWYhZpgD6egTbrgL+z1rYZYx4GLgb6gXwgDBQmHs/12ATW2nuBe8FZJeM42iciIiKLwFDfyIShFN2t/XQfHCA66uzUawz4K3yULynklHOqkitUFJfmL9rgN50Cv4fGsytpPNvpx+zviXBwl9P7fGBniJaXDgPgKXBT2xikpilA3aogJdUFi+breDyBeTewAngVZ0jFPiAEnAf8EFgDPA9sn+MxERERkRnFYnG6E6tSHBlOMcBQ75E1jfOLcimtLeS0C2qTvcYl1QW4tbHHMSsMemjaUEXThioA+rqHObjTCc8Hd/aw58VOwBnqUdsYSE4iDFb7snZc94k6nsB8B3C/MeYfgUHgz3BWvfi5MeZ84FRgC87Qi7kcExEREUkaCEVo2xumfU8vbXvDdO7rS/Yau3JzKKkuYNlpJcmhFKW1zprGkh5FJV5WnVPNqnOqAeg9PORMIEyMgX79906Azi/KTU4grG0KEKhcOAE6ZRuXGGNqcHqPn7DWho/l2Ey0cYmIiMjCFh2N0bm/n/a9Ydr29NK+N0x/TwRwNvwoX1JEVb2fyvpiypYU4q/waSJaFrHW0nt4OBmeW1/rSe5m6PPnJScQ1jYF8VfkZ3WAnm3jEu30JyIiIvNiLFy17w3TtreX9j1hDh/oJx5zskhRqZeq+mIq6/1UriimvK7opF+hYrGx1hLuGEpOIGx9rYfBxNCZgoCH2lVjq3AEKS7zZlWA1k5/IiIiMu9GhqK07+ulfU8v7S1O7/FQ3yjgrFRRuayItW9bSmV9MZX1xRT4PRlusZwoYwyBSh+BSh+nnV+LtZZQ+2BiG+8Qb7zSzc4t7QAUlniS4bl2VYDi0vwMt35mCswiIiJywmzc0t02QHui57htby/dhwaSS7kFq3wsO72Uyno/VSuKKaku0CYZi4AxhmBVAcGqAk5/Sx3WWroPDdD6mjOBcN/LXbz2fBsAxWVeapqCbLxiBYXB7PrjSYFZREREjtlQ/4gTjvf20rYnTEdLLyPDMcBZv7ey3s/K9RVU1RdTsbx40axxLLMzxlBaU0hpTSFnXliHjVu6Dg4kx0Dve/kw5/1FY6abOYUCs4iIiMwqFovTdaDfCceJ1SvCnUMAmBxDaW0BTRuqqFxRTFW9P+snd0n2MDmGsrpCyuoKWXPREqy1Wfm9o8AsIiIiE/T3RI5MzNsbpmNfH7HEsm6+4jyqVvg59bwaqlYUU760mFyP1jqW1MjGsAwKzCIiIotadCRG5/6+ZDhu39s7YVm3iqVFnH5BLZX1xVSt8FMY9GRtqBFJFwVmERGRRcJZ1m0osd6xE5APv9FPPO7MzCsu81LdEHDCcb2fsrpCLesmggKziIjIgjVhWbfEEIvhfmdZt1yPi4rlxax9+9Lk2sfaLU9kegrMIiIiC8BRl3WrLqD+zLLk0IpgdYF2zBOZIwVmERGRk9BQX2JZt5ZplnUrcFNV76fhrAqq6v1ULC/C49OybiLHS4FZRETkJDAQjiTWqg3RurOHcMeRZd3K6gpp2liVHFqhZd1EUkuBWUREJAsN9Y844fi1Hlp39tDTNghAXr6bmsaAs6xbvZ/yZUXk5mlZN5F0UmAWERHJAsMDoxzcdSQgd7UOAM7kvOqGAKvPraF2VYCyJUUaeywyzxSYZdEYHYkR7hgi1D5IqGOQwd4RvAW5+IrzJnzkF+ept0ZE0m5kKMrB3U5APvBaD4cP9IMFd24O1Q1+Gs+upLYpSPmyIlwuLe0mkkkKzLKgxKJxeg8PEeoYItwxmAzH4Y6h5EL8Y3K9LkYTE2Qmy/W6Jgbpojx8/jzyi/Lw+T3Jx76iPK1RKiJzMhqJcWi3M/74wGshOvf3YeMWlzuHqhXFbLi8ntpVQSqXF+Ny6+eKSDZRYJaTTjxu6e8ednqLk6HYud/XNYxNLMAP4PG5CVT6qG0KEqjMx1/hI1Dhw1+RT57XTSwWZ6h3lMHeCIO9Iwz2jjDUN8JgeITBxG33wQEO9PYQGYxO2x6Pz+0E6Um91FN6rovy9EtQZBGJjsRo2xOmdafTi9y+t5d43JLjMlTWF3PWJcuoXRWkakUx7ly9qyWSzRSYJStZaxnsHUn0Ek8Mxr2dQ8Si8eS57rwcApU+KpYW0dhcQaDSCcWBCh/ewtmXUXK5cigMeigMeo7aptho3AnRY8G6dyQRtI8E7s43+hjqHUku7TSZp8CNr9iDrzjXuZ3Qcz2uJ7swlxy9BStyUomNxmlv6eXAaz3JgByLxjE5hoplRay9eCm1qwJUrwyQ61FAFjmZKDBLRg0PjCaHTIwfPhFqH2Q0ciR05rgM/nKnh3jZ6aUEKvKdUFzpw+fPm5flk1y5ORSVeCkq8R713OhILBmsZ+q5bm/pZbB3hGhkmnBtIL8wd9qe64JkD7YHX3Ee3sJcTQASyYBYLE7nvr5kQG57PUx0NA4GypcUccaFddQ2BahpCJCXr1+3Iicz/Q+WtBuNxAh3JnqK2wedXuNEz/HwwGjyPGOgqNRLoMJH1crqCaG4sMR7UoVCd56L4rJ8isvyj3ruyHDUCdOJnuqhSUF7sHeEtj1hBsMjzi/jSYwB76RgPVPPtdeXizmJvo4i2SQetxx+40hAPrQ7nPzDvrS2kFPPr6G2KUhNYwBvgTYJEVlIFJglJZKT7caNJw4n7g+EJk62K/DnEaj0sWJdeSIQOz3H/rL8RTmBLs/rJs/rxl8++3nWWkYjsQm91EN9U8N1T9sAQ72jE4atjMn1uKha6aemIUBNY8CZXLQIv+Yic2HjlsOt/Yll3kIc3BViZMiZyxCs8rHqnCpqm4LUNgXIL8rLcGtFJJ0UmGXOxibbhcaNKx5biaKvaxh7ZK4d3oJc/BX51J0STE6yC1T68Jc7k+3k2BljkuE6UOmb9VxrLSND0SlhOtQ+yKHdIbb8bA8ALncOlfXF1DQ6AbpqhV9jK2XRstbSfWgguZNe684eIgNOQPaX59PQXEFdU5CapgAF/qPPexCRhUPJRSYYm2wXah9MDJ9ITLjrGCLcOUg8eiQV53pc+CvyqVheTNOGKgIV+fgTE+70dmRmGWPw+HLx+HIJVhVMeX54YNRZ3mpXiEO7Qmx/vIVtP4ecHEP5sqJkgK5e6cfj07+lLEzWWkLtg8lVLFp39jDU5wwTKyr1Ur+mnLqmALWrghQGjz53QUQWLmPHdwtmmebmZrtt27ZMN2PBisctXQf6ObgrRPveMD2JgDxhsp3b4C/3TRhPPNZb7Cuen8l2kn4jQ1Fn+atEgG5v6SUes2CgrK4wGaBrGvTWs5y8rLX0Hh52eo8T45AHwiMAFAQ81K4KULcqSG1TcE7zD0RkYTHGbLfWNk/3nHqYF5HYaJz2fb0c2u2MxWt7PZxc/qww6KGkpoCahoCzVnGlE5BPtsl2cnzy8t0sPa2UpaeVAs4qH+17e2nd5XyvvLL5IC/99wEAgtUFiQDtp6YhOKcl+UQypa97OBmOD+zsob/bmVORX5yX7D2ubQrir8hXB4CIzEg9zAvYyHCUttfDHNwd4tDucHJNUEiEngY/1YnJX3NZKk0Wr1g0Tuf+Pg7uCtG6M8Sh10PJXRKLy7zUNAWTEwmLy7wKHpIxA+HIuIAcordzCHDmVdSOBeRVQYJVPn2fisgEs/UwKzAvIEN9IxzaHebgrhAHd4c4/EYf1oLJMZQvKaQ68ZZ6dYOf/EK9rS7Hb/xwntadzvJaY0sEFgQ8R4ZwNAYUTGRW1lps3BKLWeLROLGoJR6LE5twP/FcbPJtnHjUEh2Nc/iAs5pFqH0QcHbgrGkMOKtYrApSWlOgJRVFZFYKzAtUb9eQE5B3O+NOe9qcXxSu3Bwqlxcnx5xWrijWyhSSVjZu6W4b4NCuUHIYx2BibGh+UW7ynYyaxgCltYUa5jMPbNwSj9lkqIwlQujY/Wlvo3Hnmmg8GVQnXjNdaJ0cdI8E3iOvNfl1Jt6Sgl9DuV4XNQ1jATlA2ZIifZ+JyDHRGOYFwFpLT9tgcvzxwd2h5Fi8PK+L6oYAq86poqYhQMUyra0r88vkGEprCimtKeT0t9RhrSXcOeR8ryY+9vy+E3DGS1c3+JMBunxpES5tAz5n0dEY/T0RBnoi9PcM0x+K0N8dcW57hunviTAyGCUeT09nSE6OIcdtcLlzyHElbt05uFwmeescM+TmuaY8N+HWbchxjb9NvGbu+HOd10rejv+84259xXnaTl5E0kaBOUvFY85bjAd3hZK9yMP9zlve+cV51DT4WXdxgOoG9dhJ9jHGOKuqVPg49c01gDP5anyA3vdyFwDuvByqVvidLYQbA1QsL8aduzjXgo6OxOgPzR6Gx34OjOfxuSkMeikMeqhcXozHl+uE0PGBc1zAnBh2zdRQOu6aCcdcRsMaRGRR0pCMLBEdjdHR0pvoPQ7T9vqRLVeLy7zO2OPEEAvN5paFYLB3JPluycGdIboO9oN1ljKsXF7sbDG8gIYUjYVhp3f4+MLwkQ8vBUEPRUEvBQGPNpsREUkBjWHOQpGhcStY7ArRvq83uSlISU1BcvxxdUNAy3bJojA8MMqh18PJHujO/X3YuHUmrS4tonZsN8KV/qzbGGdyGO4bGzKhMCwictJQYM4CY71ph3Y7PWpdB/qx9sjOamOToqqzMAyIZMLIsLOZyliAbm9J/FFpoLTW2UylttH5o9JXnL5VX2YMw2O9xDOF4QI3hQGFYRGRk4UC8zyz1tLXNey81ZwYgzy21JE7N4fKFX5qEpOeKuv9+qUpMgfRkRjtY8OWdoVo2xMmOpJYV7zKlxyyVNsUmPM2xkcNw92R5HJ54yXDcImHwoDCsIjIQqBVMtJs/JJaBxPrIA+EnBUsPD431Q0BVr+5mpqGxIoAbs3kFjlW7jyXs2RYUxCYuJnKwd0hdr/QziubDwITx/0Xl3oZCEWOKwxXLi9ODplQGBYRWbzUw3wcYrE4h/f3J39RH3o9RGQgCkCBPy/Z01XTGKCkWovli8yH8ZupjL27M3moxNSeYYVhERFxqIf5BI2OxGjf25tcA3n8W8H+inxWrClPjEH2U1ymFSxEMiEnMTmwfGkRa966xFm7/NAgg70RZ7iEwrCIiBwnBeZpDA+MHlnBYneIjn19xGNHJhutfnNNcovpAr9WsBDJRsYYSmoKKKkpyHRTRETkJKfAPElP2wDf+8wWZz1Yl6FiWTFr37aE6gZnBQuPTytYiIiIiCwmCsyT+Ct8bHznCqpX+KmsL8adp7dwRURERBYzBeZJcnIMzZcuz3QzRERERCRLaH0zEREREZFZKDCLiIiIiMxCgVlEREREZBYKzCIiIiIis5hTYDbGVBpjNifu1xpjDhhjnk58lCeOP2CMec4Y84lx183pmIiIiIhItjpqYDbGBIFvAWOr/28E/o+1dlPio9MY82eAy1r7JmCFMaZxrsfSU5aIiIiISGrMpYc5BlwD9CYenwPcYIz5nTHmXxLHNgEPJ+7/AjjvGI6JiIiIiGStowZma22vtTY87tDjOMH3bOBNxpgzcXqfWxPPdwOVx3BsAmPMXxljthljtnV2dh5zQSIiIiIiqXQ8k/6etdb2WWtjwO+BRqAfyE88X5h43bkem8Bae6+1ttla21xeXn4czRMRERERSZ3jCcxPGGOqjTE+4O3AH4HtHBlesQZoOYZjIiIiIiJZ63i2xv4M8BQwAnzdWvuaMeYQsNkYUwNcijPO2c7xmIiIiIhI1jLW2tS8kLOaxsXAr621bcdybCbNzc1227ZtKWmfiIiIiMhMjDHbrbXN0z13PD3M07LW9nBkBYxjOiYiIiIikq2005+IiIiIyCwUmEVEREREZqHALCIiIiIyCwVmEREREZFZKDCLiIiIiMxCgVlEREREMu6Vrlf4p2f/iVg8lummTKHALCIiIiIZ0z7Qzid+8wmufexa/nv/f9PS25LpJk2RsnWYRURERETmanB0kG/96Vv83z/9X6LxKNeddh03nHkDxXnFmW7aFArMIiIiIjJv4jbOY3se499/9+90DHZw8bKLuWX9LSwpXpLpps1IgVlERERE5sULbS/whRe+wI7uHZxWehpfuOALrK9cn+lmHZUCs4iIiIik1f7e/Xxx+xf51f5fUemr5HPnf4531L+DHHNyTKdTYBYRERGRtAhHwtzz0j18/9Xvk5uTy03rbuJ9p76PfHd+ppt2TBSYRURERCSlRuOjPPzaw3ztD1+jN9LLuxrfxUfWfoRyX3mmm3ZcFJhFREREJCWstTxz4Bn+bdu/0dLbwsaqjdx29m2sKlmV6aadEAVmEREREZlgdHSUAwcOMDw8PPdr4qP0RnqJxWL83dK/ozivGK/bS7w9zo72HWls7bHxer3U1dWRm5s752sUmEVERERkggMHDlBUVMTy5csxxsx67mhslI6hDkLDIcpyyijPLyfoDWblhD5rLV1dXRw4cID6+vo5X6fALCIiIiITDA8PHzUsx22crqEuDg8dxmIpzS+lLL8Md072xktjDKWlpXR2dh7TddlbkYiIiIhkzExh2VpLOBKmfbCdaDxKcV4xFQUVeFyeeW7h8Tlaj/l0sq+vXERERESy0sDoAHvDe2ntb8Wd42a5fzlLipdkRVj+/ve/TzgcTstrq4dZRERERGY1EhuhfbCd3kgv7hw3tYW1+D3+4+qtPVbvf//7+eQnP8nmzZuJxWLccMMNALS3t/PKK68kJ+89++yzbN68mfe85z2AM3Fx1apV1NTUnHAbFJhFREREZFqxeIzOoU66h7sxGMp95ZR6S3HluOatDbm5ubjdbnJzcycE9FAoxO9//3vy8vIAWLXKWbruxRdfBGBkZITy8nIFZhERERFJPWst3UPddAx1EIvHCHgDVORXkOua+1JsJyoWi+FyTQ3mPT09XH/99dx5553ceuutXHfddbS0tEw4Jz8/n8cffzxlbVFgFhERERHACcqbWzdjhyx2wFKQW8ADm8PsbNsP7E/Z5zm1pphPX3HajM+Hw2GuuuoqXC4XO3bs4BOf+AQAP/vZz/je977HRz/6UVasWAHAq6++yvPPPz/h+o0bN6asraDALCIiIiLAzp6d3PnCnTx36Dm+evpXWVK0hKK8Itw5r8x7W/x+P0899RRAcswywOrVq/nnf/7nCUMzYrHYlOtTPbZagVlERERkETs8dJiv/v6r/Hj3jynMLeRjZ3+Mcsop9hQDzNoTPN8aGxunhOHTTjuNTZs20dPTQygUor6+nmAwmNLPq8AsIiIisggNR4d5cMeD3PfSfYzERnjPKe/hxjU34vf42bEjO7aybmtro7W1dcrxaDSK2+3E2HXr1nHhhRdSW1vL008/zRlnnMHIyEhK26HALCIiIrKIWGt5fO/j3PW7uzg0cIgLl1zIrWfdynL/8kw3LenJJ5/kk5/8JKeccgo9PT0AuFwu9u93xlHff//9dHV1kZOTw9atW3nooYfYvHkzAJdffjnvfe972b59O1/84hfJyTnxbUe0cYmIiIjIIvFix4u89+fv5WObP4bf4+eBtz/Aly/6claFZYALLriAZ555hm9+85s0NDQwMjLCBRdcwHPPPcemTZt49NFHed/73kdXVxePPPIIL7zwAl/60peoqqqioKCA//zP/6SmpoZIJJKS9hhrbUpeKB2am5vttm3bMt0MERERkZNaa38rd22/i/9q+S/K88v56PqPcsWKK2ZcT3nHjh2sXr16nlt5/Lq6uti3bx/r1q2b04S/6eozxmy31jZPd76GZIiIiIgsUH0jfdz/8v08+MqD5JgcblxzIx847QP4cn2ZblpKlZaWUlpamrbXV2AWERERWWCi8Sg/2vUj/uPF/6B7uJt3rnwnN627iaqCqkw37aSkwCwiIiJZy1pL/2g/oUiIEm8JBbkFmW5S1vtt62+5c9ud7A7t5qzKs7j7rXdzWln2LA13MlJgFhERkXkVt3HCkTBdQ110D3fTNdxF11DXlNvu4W66hroYiR9ZIizgCVBbWEtdUR21hbXO/cI6aotqqSmomdetm7PN7p7d3Ln9Tn7b+luWFC3hrk13cdHSi1K+iUc2sdYm69uzZw9+vz8tQzMUmEVEROSEReNReoZ7kiF32vCbuN8z3EPURqe8htu4KfGWUJpfSom3hJWBlZR6SynNL6U4r5iu4S5a+1tp7WtlR9cOfrX/V0TjR17HYKjwVSTD9FiQHgvWFb4KcszCWyCsa6iLu1+8mx/u+iEF7gL+rvnvePcp7ybPlZfppqXMpk2b+MUvfkFe3pGaRkZGePvb387NN9/Mu971Lm6//XY2bNjA2rVrAWcHwA0bNqRkExMFZhEREZnWSGxkxgDcNdxF99CREByKhLBMXXnL4/JQ6nUCcKWvklNLT02G4LHbEm8Jpd5Sij3FxxRoY/EYnUOdvNH3hhOkE2G6tb+V5w89T+dg54Q25ebkJsNzbWFtMkzXFToB2+/xn1S9sZFYhAdfeZD7Xr6P4egw1666lhvX3EjQm9pd7rJBT0/PhLAMkJeXx49//GPuvPNOTj31VAYHB6mqqqKtrQ1wAnWqlpVTYBYREVlEBkcHjxp+x0Jy32jftK9RkFuQDLnLipexvmJ9MgCX5JdMCMQFuQVpC6GuHBdVBVVUFVRxNmdPeX4kNsLB/oMc6D+QDNIH+g/Q2t/KH7v+SDgSnlLXWHieHKZri2rJd+enpY5jZa3liX1PcNf2u2jtb2VT3SZuab6FFf4VmW5a2oz/HrLWEovFePnllykoKOCzn/0sl1xyCfF4nG9+85vJ89773vdSVZWaSY4KzCIiIicxay19o31O8J1hCMT4Y0PRoWlfpzivOBlyV5WsmtL7W5p/5HG2BMejyXPlsdy/fMZNOfpG+pxA3XcgGaRb+1vZ17uPZw8+y3BseML5pd7SaYN0bWEtVQVV5Oakf/z0S50vcccLd/CHzj/QFGzivrffxznV56T982aDc85x6ozH4zQ3N/M3f/M33HrrrVx33XV8/etf5zOf+Qyf/exn+dGPfsRll13Gww8/nLLPrcAsIiKShWLxGD2RHjoGO+gc7KRjKHE72EHnUCeHhw4nQ/BofHTK9Tkmh4AnkAzBSyqWJIdGjB8OMXZsMU6WK8orYlXJKlaVrJrynLU2OWb6QN+BCUM+Xup8iV+0/IKYjSXPdxmnt3vykI+6wjrqiuoo9ZaeUE/7wf6D3PW7u3h87+OUekv5zLmf4cqVV8648UhKPX47tL2c2tesOgMu/fwxXfL8889POfbYY48RCoX48Ic/zFNPPUVrayt9fX384Ac/oLOzk7Vr13LZZZedcHMVmEVEROZR3MYJRUITwm/HYAeHhw5PCMddQ10TAhk4k9pKvCWU+8opyy+jMdA4ZQjE2G3AE5ifMLVAGWMoyy+jLL+MNeVrpjwfjUdpH2xPhunxoXpz62YODx2ecL7X5aWmsObIyh7jV/koqqMor2jadgyMDvDAyw/w7Ve+DcBfnflXfPD0D2p5vYRt27bx0EMP8Y1vfIMbb7yR66+/npwcZxz8yy+/zCWXXJKSz6PALCIikgLWWnpHeif0Bo+F4cnHxq/sMCboCVLuK6fcV05jsNG5n+88rsivoNxXTml+6by87S9H585xJwPvdIaiQxzqP8SB/gMTe6j7W3mx48Up48OL84qnBOloPMp9L99H93A3l624jP+9/n9nZuORY+wJnk9f+9rX+NCHPsTg4CCFhYWcccYZPPDAA6xZs4b8/HxcrtT80ajALCIiMgtrLQOjAxMC7/je4fH3I7GpM/KL8oqSgffsqrOPhGBfBeX5zm1ZftmCWgJMIN+dz4rAClYEpp+IF46Ep/RMH+g/wK6eXTzzxjPJtafXVazjqxd9lTPKz5jP5mdcNBrFGDNj4I3FYuzdu5e9e/fS3NxMW1sbO3bs4OqrrwbgvvvuIy8vjyuvvBK/33/C7VFgFhGRRWsoOjRlaMR0PcTTTZTLd+dT6auk3FfOmeVnTgjAY73CZb6yk2aCnMwvv8eP3+Pn1NJTpzwXt3EODx0mHAnTEGg4qZa6S5VvfvOb3HvvvcnhFV6vNznpD5yJf5eSYcJhAAAXaklEQVRddhm33347AFVVVfzyl78EYOfOnbz73e/mJz/5SUrCMoCxduqaidmiubnZbtu2LdPNEBGRk8xIbGRK7++UMDzYOe2yaR6XZ0LwnRyCx3qHNYZUFrIdO3awevXqTDfjuFhrGRkZwePxzHjOdPUZY7Zba5unO189zCIikvWstQxFh+ge7iYUCdEz3ENPpMe5He7h8NBhJyAnQnIoEpryGu4cdzLwrgys5Jzqc6YMjSj3lVOUW7Qoe/REFgpjzKxh+XjMKTAbYyqBH1przx937HTgS9bai40xucCPgBLgAWvtN+Z6LKXViIjISWE0Pko4Ek4G3p5ID6HhEN2RbkLDoWQYDkVCTkgeDiXHdE7mMi5K80upyK+grrCO9RXrp+0h9nv8C3JbZBFJv6MGZmNMEPgWUDDumAG+CIxN1b0J2G6t/SdjzM+NMY8A/99cjllrp99GSERETgrWWvpH+6cNvMngO+lY38jMP/qLcosIeAMEvUEqfZWsCq6ixFviHPMECXqDBDyB5DH1CItIus2lhzkGXAP8dNyxDwBPAf8j8XgTcHvi/q+B5mM49tTxNFxERNJjJDYy7bCHZG9vJDQlHE+3TBpAbk4uQW+QoCdIwBvgtNLTJgZfb4ASz5EwHPAEFuUGGiKS3Y4amK21vXBkD29jTCnwXpywPBaYC4DWxP1uoPIYjk1gjPkr4K8Ali5deozliIjIeHEbp2+kb0rgHT8UYuy5sccDowMzvp7f40+G3brCOs4oO2NCr+/4cFziLcHn9qn3V0RO2B/+8Af6+vo477zzMvL5j2fS3+eBf7DWjo77IdgP5ANhoDDxeK7HJrDW3gvcC84qGcfRPhGRBSkajxKOhAlHwk4vbyQ07eOx+93D3YQj4Sm7xY3xuDzJgBv0BllStMQZ5jAWfMcPffAE8Hv8uHM0V1xE5l9hYSE333wzTz/99JTn7rjjDs4888wJu/rFYjHOP/98nn322ZR8/uP5yfcWoDERltcaY/4Z2A6cB/wQWAM8fwzHREQWlbExv5PD7uQAPP653kjvtEugjXEbN36PPxlslxcvZ23F2mnH/I4d0/rAIpLN7r33Xr797W/jdjtxdWhoiE2bNgEwPDzMxz/+cd75zndOWBXjwgsv5KmnnsLlcpGfn7qfccccmK21TWP3jTFPW2s/YYxZBvzcGHM+cCqwBWfoxVyOiYictMbG+x6tt7c30jvhftROP+YXnJ3h/HlO+A14Ayz3L3eCcJ4/GYoDngB+rz95XkFugYY+iMiCEgqF+NCHPsRf/uVfznqeMSb586+goGDC8VSZc2C21m6a6Zi1dp8x5mKc3uNPWWtjwFyPiYhkXNzG6Y30Eh6Z1Ls7nAi5I71TgnA4Ep52B7gxHpdnQsBdGVg5MfCO6xEeu1+cV6xhDyKSVf5167/yaverKX3NU0pO4WMbPjbrOS6Xi1hs9qh4+eWXs2nTJh577DF6e3sB+NSnPsVtt92WsrZCCjcusdYeBB4+nmMi88laS9dwF639rbhz3HhyPHhcHvJceXjdXvJceeTl5OHKmX7/esku1lqi8SjDsWEisQgjsZEJtwOjA4RHwoSHp/b8hkeO9Aj3RnqxTD9tIsfkJHt3/R4/lb5KmoJNE4Lv5CDs9/g15EFE5ATEYrFZe4ljsRjDw8NYa9mwYQOPPPIIAM3Nzdx7770pbYu6MWRBGxgdYHdoN7t6djkfoV3s7tlNT6TnqNe6c9x4XEfCdPI258jjKc+5JoXvnOmfO9qxPFfeSbPBgrWWqI1OCaoz3Z98bDg2POu1c3lupqA7nYLcgglDG2oLaicE3umCb1Fe0Unz7yEikmpH6wlOl66uLk455ZQZn29paWH9+vW0t7dz6aWXEo/HefDBB7nsssuS4TlVFJhlQRiNj9ISbpkSjlv7W5Pn5LvzaQw0ctHSi2gINLC0eClxG5815M0W1Aajg4QioWmfG44Nn3BNuTm5R8K3y3vUgD2XQO4yrqOH0PjRA+rk43EbP6Faj/bHic/tI+gJTnhu7N2A5HUz/HGS785PjgX25/m1xq+IyEli69atXH/99TM+v3LlSu644w7e8Y53sGrVKk4//XQefPBBXC4X1157Lffff3/K2qLALCcVay2HBg4lA/HY7d7w3uTGCS7jYnnxcs4oO4M/a/wzGgONNAQbqC2snbdewrFhApFYZM49qMfaC9s30jdzb+wMWwjPJMfkTAmsk8NrUV7RtAH+mHrPE8NfPO4jz2n4i4iITLZlyxbC4TBNTU2znrdz505KSkrIzXU6Q6xNz4rECsyStcKRMDt7dk4YSrE7tJv+0SPLd1cXVNMQaOD82vNpDDbSGGik3l9Pnisvgy13ZubmunLJdeVSSOG8f/64jTMaH50SvqPx6LS91ZpkJiIi2cRay5e+9KWjnnfLLbdw5513Jh9XV1cDzvjmwcHBlLXHpCuJp0Jzc7Pdtm1bppshaTYcHWZPeM+EoRS7enbROdSZPKc4r5jGYCMNgQaagk3J+0V5RRlsuYiIyMK0Y8cOVq9enelmHNXg4CA+n++Yr5uuPmPMdmtt83Tnq1tJ5k0sHuONvjeSvcVjwXh/3/7kGNi8nDxWBlbyppo30RBoSPYaV/gqtMasiIiITHA8Yfl4KDBLyllrOTx0eMo44z2hPcnJcAbDkqIlNAYbuaT+kuQ446VFSzU8QERERLKKkomckIHRgYnBuGcXu0O7CUVCyXPK8stoCDTwF6v+gsZAI03BJur99fhy5+evQhEREZETocAsczIaG2Vv794JQyl29ezi4MDB5Dk+t4+GYANvXfrW5FCKhmADJd6SDLZcRERE5MQoMMsE1loODhycMgGvpbcluWyb27hZ7l/OmvI1/HnTnyfHGtcU1mhzBxEREUmJzZs3c95552XFHCYF5kWuc7CTrW1b2d6+nZ09O9kd2s3A6EDy+eqCahqDjbyl7i3JlSlW+Fdo8wcRERFJq5aWFu655x7a29unrK+8Y8cOnn76afbt28evfvUrPve5z3HTTTdx6623Ul9fD8Bb3/pWnnjiCdzuE4+7CsyLTDgSZlv7NrYc2sLWQ1t5Pfw6AEW5RTSVNHHFiitoDDrjjFcGVmrZNhEREcmI973vfZx77rl85CMf4YEHHmDLli1s3LiRJ598ktdeew23243X68Xj8QDQ3+/s03DxxRfzxBNP4PV6UxKWQYF5wRscHeTFjhd5vu15th7ayo7uHcRtnHx3Pusr1vPOhneysXojpwRP0W5rIiIikhUeffRRnnnmGT73uc9xzz33cN111/GVr3yF0tJSnnzySd72trfR39/PQw89xK5du3j00UfJy8vD5XLh8XjIyclJ6VAOBeYFZjQ2ysuHX2bLoS1sadvCHzr/QDQexZ3j5syyM/nrM/+ajdUbObPsTA2rEBERkaNq+5d/IbLj1ZS+pmf1KVR9/OMzPn/FFVcwODjIb3/7Wzo7O7nrrrs4fPgw99xzD/fffz8/+9nPqKur481vfjPGGNatW8ePfvSj5BbZqabAfJKLxWO81vNaMiD/rv13DEWHMBhWl67mfavfx8bqjayrWKdl3EREROSkcc0112Ct5dOf/jT3338/XV1ddHR0sGPHDqLRKIFAgCVLllBaWkpdXR3t7e0UFhampS0KzCcZay17e/cmxyBvbdtK70gvACv8K7hy5ZWcU30OzVXN+D3+DLdWRERETnaz9QSnUyQS4YYbbuA73/kO27Zt4wMf+ACFhYVceeWV3HjjjQD85je/YXR0lMOHDzMwMEBRUXrmXikwnwQO9R/i+UPPs7VtK1sPbaVjqANwVrC4aOlFbKzeyIaqDVT4KjLcUhEREZHU+M53vsO5557L8PAwf//3f89nP/tZfvOb3/DQQw/x1re+lZdeeom7774br9fLr3/9a0pLSwGIx+Mpb4sCcxbqGurihbYX2NK2hS2HtvBG3xsAlHhL2FC1gY3VG9lYtZG6orqsWJtQREREJJVGR0f58pe/zOOPP87VV1/NTTfdRF1dHW63m/vuu49rrrmG+++/n5/85CcUFRXxwQ9+kA9+8IMALF++nFgsRiwWIx6Pk5Nz4ntEKDBngf6R/uRSb1vatrCrZxcAhbmFNFc2855T3sOG6g00BhoVkEVERGTBa2lp4eqrr6a0tJS//du/5aKLLuK5555jaGiIxsZGnnzySYLBIDk5OUSjUa666iouv/xyAO6++24APvCBD6SsPWbyQtDZpLm52W7bti3TzUi54egwL3a+yNZDW9lyaAt/6voTMRvD4/KwtmIt51Sfw4aqDZxaeiruHP1NIyIiIvNrx44drF69OtPNSJvp6jPGbLfWNk93vtLYPIjGo/zx8B/Z2uYE5Bc7XmQkPoLLuDi97HSuP+N6NlZtZE3FGjwuT6abKyIiIiLjKDCnQdzG2dWzKznEYnv79uR206eUnMK1p1zLxuqNnFV5FgW5BRlurYiIiIjMRoE5Bay17O/b7wTkQ1t4oe0FeiI9ACwrXsZl9ZexsXojZ1edTdAbzHBrRURERORYKDAfp/aB9uQqFlvbttI20AZAha+C8+vOT65mUVVQleGWioiIiJz8rLUMDg5SUDD/784rMM9RaDjkrIOcGIfc0tsCQMAT4Oyqs7nh9BvYWL2RZcXLtJKFiIiIyAnq7e3lQx/6EN/97ncB2Lt3L7fccgs//elPJ5x3xx13cOaZZ3LJJZckj8ViMc4//3yeffbZlLRFgXkGg6ODbGvf5qxk0baF17pfw2LxuX2cVXkWf97052ys3khTsIkcc+Lr+4mIiIiIo6Ojgz179tDX18fOnTu5+eabGR0dpb+/n7e97W1Ya/nud79LVVUVxhg8HmfRhAsvvJCnnnoKl8tFfn5+ytqjwDzJgb4DfPw3H+flzpeJ2ii5ObmsrVjLh9d+mI3VGzmt7DRyc3Iz3UwRERGRBaulpYUHHniAvXv38tRTT/HDH/5wwlCMaDSKy+UCwBiTfHd//DmpfMdfgXmSsvwyAK47/To2VG1gXcU6vG5vhlslIiIikhmbH97J4Tf6U/qaZUsKOf9/Ns34/IYNG3j22Wfp6OjgqquuoquriyuvvBKA0tJSfvCDHwBw+eWXs2nTJh577DF6e3sB+NSnPsVtt92W0vZqLMEkXreXb1/6bW5efzNvqnmTwrKIiIhIBvz4xz9m//793HbbbQwPD7NmzRp++ctfMjDgLNUbi8UYHh7GWsuGDRt45JFHAGhububee+9NaVvUwywiIiIiM5qtJzhdHn74Yc4991wOHTrE1VdfTV9fH4WFhRPOaWlpYf369bS3t3PppZcSj8d58MEHueyyy5LhOVXUwywiIiIiWWXZsmV8+MMfBuCKK67g1VdfZfny5RPOWblyJXfccQevvPIKq1at4tprrwXA5XIl76eKArOIiIiIZJWNGzfi8Xiw1hKJRPja177GxRdfDEAkEmHr1q18/etfZ+fOnZSUlJCb6yzIYK1NS3sUmEVEREQk64yOjhKJRPj85z/PVVddRV1dHQDvf//7+c53vsNb3vIWbrnlFv7xH/8xeU11dTXgjG8eHBxMWVtMupJ4KjQ3N9tt27ZluhkiIiIii8qOHTtYvXp1ppsBOEvIud3TT7sbHBzE5/Md82tOV58xZru1tnm689XDLCIiIiJZa6awDBxXWD4eCswiIiIiMkU2j0I4EcdTlwKziIiIiEzg9Xrp6upacKHZWktXVxde77Hts6F1mEVERERkgrq6Og4cOEBnZ2emm5JyXq83OYFwrhSYRURERGSC3Nxc6uvrM92MrKEhGSIiIiIis1BgFhERERGZhQKziIiIiMgssnrjEmNMJ7AvQ5++DDicoc+dKYut5sVWL6jmxUI1Lw6qeeFbbPVCZmteZq0tn+6JrA7MmWSM2TbTbi8L1WKrebHVC6p5sVDNi4NqXvgWW72QvTVrSIaIiIiIyCwUmEVEREREZqHAPLN7M92ADFhsNS+2ekE1LxaqeXFQzQvfYqsXsrRmjWEWEREREZmFephFRERETnLGmBJjzMXGmLJMt2UhWtCB2RjjN8Y8boz5hTHmx8aYPGPMA8aY54wxnxh3XqUxZvO4x+uNMb80xvzWGPO3iWO5xphHE8c+OOnzPGqMWTt/lc0s3TUbYz5jjHk68fGqMeYf5r/Kieah5hXGmF8ZY140xnxy/iucah5qnnJepqWy5sTx1caYn457HDDG/Dpx3qXzV9nM0l1z4thbjDH3zU9Fs5uHf+N1iXN+bYz59PxVNrO51DzdOYnj031tjvr1yrR01zzTtZk0DzUHgceADcBTxphpl0abT/PxvZ04XmmM+X2661nQgRn4S+CL1tq3A23AtYDLWvsmYIUxpjHxTfYtoGDcdV8BPgCcB1xtjKkHbgK2W2vfDPy5MaYIwBjzl8Dr1toX562q2aW1Zmvtp621m6y1m4A/At+et8pmlu5/548An7LWrgX+Rzb8ICL9NU93XqalrGZjzErgC4B/3Hn/P/AN4ALg740xJu0VHV1aazbGnAN8Gsidl2qOLt3/xjcC77LWXgD8T2PM+Ocy5ag1T3POJcaYP5t83gzHpvt6ZVpaa57u2nmvcKp013wmcKu19v8ATwDr573CqdJd85g7gfx0F7OgA7O19m5r7ZOJh+XAe4GHE49/gfPDNQZcA/SOu7TEWvuGdQZ4dwHFwKZx1/4aaDbGlAD/BvQYYy5MZy1zle6ax042xpwNHLDWtqaplDmbh5q7gDONMZWABwilr5q5mYeapzsvo1Jccx9w9aRPcQHwQ2ttDHgNWJ6OOo7FPNT8BnBDmpp/zNJdr7X2r621HcaYXMANDKatmDmaS83TnNPBxP+3Y1+b6Y5N9/XKqHTXPMO1GTUPNT9jrX3eGHMBTi/zc2ksZ07m4XsbY8xFwABO2E6rBR2Yxxhj3gQEcX45jAW8bqDSWttrrQ1PuuS3xpiPGGPeg/NL8yWcv84nXAvcAjwC3AP8L2PMO9NayDFIY81jbsbp1ckaaaz5v4BzgI8C/w1E01nHsUhjzdOdlxVSUbO1tsNaG5l0XtRa2z/+9dJTwbFLV82JP3jj6W39sUvjv/GYW4HvWWtH09D84zJbzZPPsdY+z/T/b6ccm+HrlRXSVfMM12aFdNaceFfsGqAHWPDf24nhG58Ebk93DbAIAnOiF/grwAeBfo502xcyc/1/DbyK81b8vyZ6Laa7dh3wH9baNpy/fDaloYRjluaaMcYEgApr7etpKeA4pLnm24HrrLX/mHju4nTUcKzSXPN052VcCmueTmzc/dleb16lueask+56jTEbgXcA/5KqNp+oudQ86RxmOG+uX6+MS3fN01ybcemu2To+jNPBkRUdeGmu+XbgbmvtvLzrm7X/mVIh8dfHI8A/WGv3AdtJdOMDa4CW6a4b95YswHcTt9NduxtYkTjWDOxLXeuPzzzUDHAl8PNUtvtEzEPN9cASY4wXZ1xYxsNHumue4byMSnHN0/mTMWZs2NEaFt7/56yX7nqNMcuBu4H3ZEvv8lxqnuYcpjtvhmNZJ901z3BtRs1DzR8zxvyvxLEAWTB0cB6+t98GfNgY8zSw1hhzfzrrwVq7YD+AD+G8NfF04uP9wB+ALwI7AP+4c5+edO23gPPHPV4G/An4d+AFwAXU4ATH3wJPAkULvebE8e8B6zNd6zz+O18G7MEZE/n9sa/DQq55uvMy/ZHKmqc7Dzg78Xr3Ao9lut75qDnxeDnwzUzXOk//xj8A9o57/VUnQ83TnHMNzjjtyedNOTbT12sh1zzdtYug5iBODvk1zh+FZqHXPOlzpf37e9FtXJKYMXwx8GvrDKU4lmtrcP7CecJm6Ziw6ahm1TyHaxddzTO8XgOwFnjUzjz+NaNSXXO2W2z1wtxrnu68k/XrpZpV89HOy3TNiy4wi4iIiIgciwU9hllERERE5EQpMIuIiIiIzEKBWURERERkFgrMIiIiIiKzUGAWEREREZmFArOIiIiIyCz+H9z+SZX6/OxmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.plot(\"Month\",\"Salary\",data=data_hangzhou, label='杭州')\n",
    "#plt.plot(\"Month\",\"Salary\",data=history_data[history_data.City=='南京'], label='南京')\n",
    "plt.figure(figsize=(12,6))\n",
    "cities = set(history_data.City)\n",
    "cities = ['北京','上海','广州','深圳','杭州']\n",
    "for city in cities:\n",
    "    plt.plot(\"Month\",\"Salary\",data=history_data[history_data.City==city], label=city)\n",
    "    \n",
    "    #plt.show()\n",
    "plt.title('主要城市工资变化')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yMzPtdxZyihG02nLmmWcyf/78o68HDx5Mamoqr7766tE2v99Pjx49WLhwIQ888ADjx48nJiaG4cOHM3XqVHw+nxuli4iIiIjUa1sLi5m+qoBxWekkxnrdLud7Oe0xRWPMC8aYAcGXTYB9wIzgCpfxwCXAamAJzm2UABnAppO0RbS1a9eSkJBAYWEhGzZsONoeFRV1dB7dqFGjGDp0KBdffDELFizgkksuYdiwYcybN8+tskVERERE6qVX5uTiMYZb+7Vzu5TvrTojc08AbxpjLPCptXaDMea3wJdAGfBisK0AyDbGtAYuA87HuSXz+LaIVVpayo9+9CP+/Oc/Exsby/jx4/n444+PzqU7YvLkyUeD3bBhw5g+fTqBQMCNkkVERERE6q39xT7+sWgrV2S0Jrlx3Kk/EOaqPDJnrb0o+Geutba/tTbLWvtIsO1La21na20Pa+1zwbYDOIugzAcGWmv3V9ZWo1cTQuvXr+fSSy/llltuISMjg06dOnHXXXcxZMgQvv76a6y1fPjhh7z//vssXLgQYwzGGGJjYwHweDwnrIApIiIiIiK15+2FWygu8zM2K93tUmpEtebMVZW1di/frl550rZI8/e//50HH3yQl156iaFDhx5tHz16NLGxsQwePJhHHnmExMREJk+ezPPPP390z7mysjJ69+7NwYMHGTduHPfcc49blyEiIiIiUm+UlQd4dU4u/Tu0oGvrRm6XUyNqNczVVddeey0jRoygUaMT/xJceeWVXHzxxSQkJBxte+aZZ0JZnoiIiIiIHGfqinx2FpXyp1EZbpdSYyIyzFlrXd2l3ev14vWefOWbikHudFj73Yt3ioiIiIjI6bPW8nJ2Dp2SEhnQsYXb5dSYiJu0FRsby549e+pc8LHWsmfPnqNz6kREREREpGZkf72b9duLGDcg3dVBoZoWcSNzbdq0Ydu2bezatcvtUmpcbGwsbdq0cbsMEREREZE6ZWJ2DkmNGnBFRmu3S6lRERfmvF4v7du3d7sMERERERGJAGvzD5D99W5+MbQTMdERd2Pid6pbVyMiIiIiIlLBy9k5xMdEccN5aW6XUuMU5kREREREpE4q2H+YqSvyGd27LY3jT76AYaRSmBMRERERkTrptbmbCFjL7f3q5jQthTkREREREalzikp8vD1/C5d3T6Zts3i3y6kVCnMiIiIiIlLn/GPRVopKyxmXle52KbVGYU5EREREROoUnz/Aq3M2cV77ZmS0beJ2ObVGYU5EREREROqU6asKyNt3mPF1eFQOFOZERERERKQOsdYyMTuH9JYJDOrcyu1yapXCnIiIiIiI1BnzcwpZnXeAcVnpeDzG7XJqlcKciIiIiIjUGROzc2ieEMPInilul1LrFOZERERERKRO+HpHEV+s38nNfdsR641yu5xapzAnIiIiIiJ1wsvZuTSI9nBT3zS3SwkJhTkREREREYl4O4tKmLwsj1GZbWiWEON2OSGhMCciIiIiIhHvzXmb8QUCjOlft7cjqEhhTkREREREIlpxWTlvzt/MJV2TaN8iwe1yQkZhTkREREREItp7S7axr9jHuDq+SfjxFOZERERERCRi+QOWl7Nz6ZnahF5pTd0uJ6QU5kREREREJGLNXLudLYXFjM9Kx5i6vUn48RTmREREREQkYk2YlUNqs3gu6XaG26WEnMKciIiIiIhEpCWbC1m6ZR9js9oT5alfo3KgMCciIiIiIhFqwqwcGsd5+UGvNm6X4gqFORERERERiTi5uw/x6dod3HR+GvEx0W6X4wqFORERERERiTivzM7F6/Fw8wVpbpfiGoU5ERERERGJKIWHyvjXkq2M7JlCq8RYt8txjcKciIiIiIhElLfmb6bEF2BsVnu3S3GVwpyIiIiIiESMEp+f1+duYmCnlnRMSnS7HFcpzImIiIiISMSYvCyPPYfKGDcg3e1SXKcwJyIiIiIiESEQsLycncPZKY3om97c7XJcpzAnIiIiIiIR4csNO9m46xDjstIxpv5tEn48hTkREREREYkIE2blkNIkjsu7J7tdSlhQmBMRERERkbC3Yus+FuQWclu/dnijFGNAYU5ERERERCLAxOwcEhtEM7p3W7dLCRsKcyIiIiIiEta2FhYzfVUB1/dJJTHW63Y5YUNhTkREREREwtqrczbhMYZb+7Vzu5SwojAnIiIiIiJha3+xj3cXbeGKjNYkN45zu5ywojAnIiIiIiJh6+2FWygu8zM2S5uEH09hTkREREREwlJZeYBX5+TSv0MLurZu5HY5YUdhTkREREREwtLUFfnsLCpl3ACNylVGYU5ERERERMKOtZaXs3PolJTIgI4t3C4nLCnMiYiIiIhI2Mn+ejfrtxcxbkA6xhi3ywlLCnMiIiIiIhJ2Jmbn0CqxAVdktHa7lLClMCciIiIiImFlbf4Bsr/eza392hETrchyMvrKiIiIiIhIWHk5O4f4mChuOC/N7VLCmsKciIiIiIiEjYL9h5m6Ip/RvdvSON7rdjlhTWFORERERETCxmtzNxGwltv7tXe7lLCnMCciIiIiImGhqMTH2/O3cHn3ZNo2i3e7nLCnMCciIiIiImHhH4u2UlRazrgsbRJeFQpzIiIiIiLiunJ/gFfnbOK89s3IaNvE7XIigsKciIiIiIi4bvrq7eTtO8x4jcpVmcKciIiIiIi4ylrLhFkbSW+ZwKDOrdwuJ2IozImIiIiIiKvm5xSyOu8A47LS8XiM2+VEDIU5ERERERFx1cTsHJonxDCyZ4rbpUSUaoU5Y0yyMeZiY0xiTRckIiIiIiL1xzc7i/hi/U5u7tuOWG+U2+VElCqFOWNMkjEmO/j8LOAfQD/gK2NMjDHGa4z50Bgzxxhze/C4KrWJiIiIiEj99XJ2Lg2iPdzUN829Ivw+sNa9/qvplGHOGNMUeB1ICDb1AG6z1v4WyAHaA/8LLLHW9gN+EByxq2qbiIiIiIjUQzuLSvhgaR6jMtvQLCHGvUKyn4KXLwZfiXs1VENVRub8wGjgAIC19j1gszFmGNAU+Aa4CPhn8PhZQOZptImIiIiISD305rzN+AIBxvR3cTuC0iKY/wI0TAJvrHt1VMMpw5y19oC1dv9xzQ2Ba4HNgMUZtcsLvlcIJJ1G2zGMMeONMYuNMYt37dp1elcjIiIiIiIRobisnDfnb2ZIlyTat0g49Qdqy6JJULIPBtzrXg3VVK0FUKy1+6y1twBeoDdwEIgLvt0weN6qth1/7gnW2kxrbWbLli2rU56IiIiIiIS595ZsY1+xj/EDXByV8x2Gec9D+kBI6eVeHdV02mHOGPOCMWZA8GUTYB+wBOgfbMsANp1Gm4iIiIiI1CP+gGXS7Fx6pjahV1pT9wpZ+iYc2gkD7nOvhu8huhqfeQJ40xhjgU+ttRuMMa8D040xWUBXYAHO7ZRVaRMRERERkXpk5trtbN5TzP1DO2OMS5uEl5fBnD9Dal9I6+dODd9TlcOctfai4J+5fDu6duS9zcaYIcH2X1tr/TiLpFSlTURERERE6pEJs3JIbRbPJd3OcK+Ile/CgTwY8Sy4FSi/p+qMzFXKWpvPtytVnlabiIiIiIjUD0s2F7J0yz5+e0U3ojwuhSh/Ocx+BpLPgQ6D3amhBlRrARQREREREZHqmDArh8ZxXkZltnGviDWToTAHsu6N2FE5UJgTEREREZEQ2bT7EJ+u3cFN56cRH1NjNwmenkDA2SS8ZWfoPNydGmqIwpyIiIiIiITEpNm5eD0ebr4gzb0iNkyHXeucUTlPZMehyK5eREREREQiQuGhMv61ZCsje6bQKjHWnSKshewnoWk76Ha1OzXUIIU5ERERERGpdW/N30yJL8DYrPbuFbHxc8hfBv1/BlEu3eZZgxTmRERERESkVpX4/LwxbxMDO7WkY1Kie4XMegoapUDGde7VUIMU5kREREREpFZNWZbH7oNljBuQ7l4Rm+fClrlwwY8huoF7ddQghTkREREREak1gYBlYnYOZ6c0om96c/cKmfUkxLeAc292r4YapjAnIiIiIiK15ssNO9m46xDjstIxbu3plrfEmS93wd0QE+9ODbVAYU5ERERERGrNhFk5tG4cy+Xdk90rIvtpiG0MmWPcq6EWKMyJiIiIiEitWLltHwtyC7m9f3u8US5Fjx1rYf006HMnxDZyp4ZaojAnIiIiIiK1YmJ2LokNohndu617Rcx+GrwJTpirYxTmRERERESkxm0tLGb6qgKu75NKYqzXnSL2bITV70PvMRDfzJ0aapHCnIiIiIiI1LhX52zCALf2a+deEbOfAY8X+t7tXg21SGFORERERERq1P5iH+8u2sKIjNYkN45zqYhtsOJdZyuCxCR3aqhlCnMiIiIiIlKj3l64heIyP2Oz2rtXxJxnAQv9fuJeDbVMYU5ERERERGpMWXmA1+bm0r9DC7q1buxOEQd3wtLXIeOH0MTFxVdqmcKciIiIiIjUmA9X5LPjQCnjBqS7V8S858BfBv3vca+GEFCYExERERGRGmGtZWJ2Dp2SEhnQsYU7RRQXwqJJ0G0kND/TnRpCRGFORERERERqRPbXu1m/vYhxA9IxxrhTxIKXoOwgZN3rTv8hpDAnIiIiIiI1YmJ2Dq0SG3BFRmt3CigtggUvQqdhkNTNnRpCSGFORERERES+t3UFB8j+eje39mtHTLRLMWPRJCjZBwPq/qgcKMyJiIiIiEgNmJidQ3xMFDecl+ZOAb7DzsIn6QMhpZc7NYSYwpyIiIiIiHwvBfsPM3V5PqN7t6VxvNedIpa+AYd2wYD73OnfBQpzIiIiIiLyvbw2dxMBa7m9n0ubhJeXwZy/QGpfSOvnTg0uUJgTEREREZFqO1haztsLtnBZ92TaNot3p4iV78KBPMi6D9xaRdMFCnMiIiIiIlJt/1i0laKScsZnubRJuL8cZj8DyedAh8Hu1OAShTkREREREamWcn+AV2bncl77ZmS0beJOEWsmQ2GOM1euHo3KgcKciIiIiIhU0/TV28nbd9i9UblAALKfgpZdnL3l6hmFOREREREROW3WWibM2kh6ywQGdW7lThEbpsOudZB1D3jqX7Spf1csIiIiIiLf2/ycQlbnHWBs/3Q8Hhdub7QWsp+Epu2g29Wh7z8MKMyJiIiIiMhpezk7h+YJMVx9boo7BWz8HPKXQf97ICranRpcpjAnIiIiIiKn5ZudRXy+fic3921HrDfKnSJmPQWNUiDjOnf6DwMKcyIiIiIiclpezs6lQbSHm/qmuVPA5rmwZS5c8GOIjnGnhjCgMCciIiIiIlW2s6iED5bmMSqzDc0SXApSs56E+BZw7s3u9B8mFOZERERERKTK3py3GV8gwJj+Lm1HkLfEmS93wd0QE+9ODWFCYU5ERERERKrkcJmfN+dvZkiXJNq3SHCniOynIbYxZI5xp/8wojAnIiIiIiJV8t6Srewr9jF+gEujcjvWwvpp0OdOiG3kTg1hRGFOREREREROyR+wvDw7l56pTeiV1tSdIrKfAm+CE+ZEYU5ERERERE5t5trtbN5TzPisdIxxYZPwPRthzQfQewzENwt9/2FIYU5ERERERE5pwqwcUpvFc0m3M9wpYPYz4PFC37vd6T8MKcyJiIiIiMh3WrK5kKVb9jGmf3uiPC6Myu3bCivedbYiSEwKff9hSmFORERERES+08RZuTSO8zIqs407Bcx9FrDQ7yfu9B+mFOZEREREROSkNu0+xIy127np/DTiY6JDX8DBnbD0Dcj4ITRpG/r+w5jCnIiIiIiInNSk2bl4PR5uviDNnQLmPQf+Muh/jzv9hzGFORERERERqdTeQ2X8a8lWrurZmlaJsaEvoLgQFk2CbiOh+Zmh7z/MKcyJiIiIiEil3pq/mRJfgLFZLm0SvuAlKDsIWfe603+YU5gTEREREZETlPj8vD5vEwM7teSspMTQF1BaBAtehE7DIKlb6PuPAApzIiIiIiJyginL8th9sIxxA1walVs0CUr2wQCNyp2MwpyIiIiIiBwjELBMzM7h7JRG9E1vHvoCfIedhU/SB0JKr9D3HyEU5kRERERE5BhfbtjJxl2HGJeVjjEubBK+9A04tAsG/Dz0fUcQhTkRERERETnGxOwcWjeO5aVb4ncAACAASURBVPLuyaHvvLwM5vwFUvtCu36h7z+CKMyJiIiIiMhRK7ftY35OIbf3b483yoW4sPJdOJAHWfeFvu8IozAnIiIiIiJHTczOJbFBNKN7tw195/5ymP0MJJ8DHQaHvv8IozAnIiIiIiIAbC0sZvqqAq7vk0pirDf0BayZDIU5MOA+cGOuXoRRmBMREREREQBenbMJA9zar13oOw8EIPspaNnF2VtOTklhTkRERERE2H/Yxz8WbWFERmuSG8eFvoAN02HXOsi6BzyKKVWhr5KIiIiIiPDOwi0cKvMzNqt96Du3Fmb9CZq2g25Xh77/CFWlMGeMSTLGZAefpxpj/mOM+cIYM8E4Uowx24Lt/zHGtAweO8kYM88Y81CFc53QJiIiIiIi7ikrD/DqnFz6d2hBt9aNQ1/Axs+hYDn0vweiokPff4Q6ZZgzxjQFXgcSgk13AP9jrR0EtAW6A32AP1hrLwo+dhljrgairLV9gXRjTMfK2mrjokREREREpOo+XJHPjgOljBuQ7k4Bs56CRimQcZ07/UeoqozM+YHRwAEAa+2vrLXrgu81B3YD5wNjjTFLjTF/DL53EfDP4PNPgf4naRMREREREZdYa5mYnUOnpEQGdGwR+gI2zYEtc+GCH0N0TOj7j2CnDHPW2gPW2v3HtxtjRgNrrLX5wMc4Qa030NcY0wNnJC8veHghkHSStuPPO94Ys9gYs3jXrl2nf0UiIiIiIlJl2V/vZv32IsZmtce4sR1A9pOQ0BLOvTn0fUe4ai2AYoxJB+4DfhpsmmutLbLW+oFlQEfgIHBkGZyGwb4qazuGtXaCtTbTWpvZsmXL6pQnIiIiIiJVNDE7h1aJDbjinNah7zxvCWz8Avr+CGLiQ99/hDvtMBecQ/cOcHuFEbsZxphkY0w8cAmwGljCt7dRZgCbTtImIiIiIiIuWFdwgOyvd3Nrv3Y0iI4KfQHZT0NsY8gcE/q+64DqLBVzP5AK/DU4DPsw8FvgS6AMeNFau8EYUwBkG2NaA5fhzKuzlbSJiIiIiIgLJmbnEB8TxQ3npYW+8x1rYf00uPCXENso9P3XAVUOc9bai4J//hL4ZSWHdD7u+APGmIuAIcATR0bxKmsTEREREZHQKth/mKnL87mpbxqN472hLyD7KYhpCH3uDH3fdUStbuJgrd3Lt6tXnrRNRERERERC67W5mwhYy+39XNgkfM9GWPMB9L0b4puFvv86oloLoIiIiIiISOQ6WFrO2wu2cFn3ZNo2c2HhkdnPgMfrhDmpNoU5EREREZF65h+LtlJUUs74LBc2Cd+3FVa862xFkHjCTmVyGhTmRERERETqkXJ/gFdm53Je+2ZktG0S+gLmPgtY6PeT0PddxyjMiYiIiIjUI9NXbydv32F3RuUO7oSlb0DGD6FJ29D3X8cozImIiIiI1BPWWibOyiG9ZQKDOrcKfQHzngN/GfS/J/R910EKcyIiIiIi9cSC3EJW5e1nbP90PB4T2s6LC2HRJOg2EpqfGdq+6yiFORERERGRemLirByaJ8Rw9bkpoe98wUtQdhCy7g1933WUwpyIiIiISD3wzc4iPl+/k5v7tiPWGxXazkuLYMGL0GkYJHULbd91mMKciIjIyVjrdgUiIjXm5excGkR7uKlvWug7XzQJSvbBAI3K1aRotwsQEREJS3s3wWvDofQANG0PTdt9+2gWfN2oDUTpW6mIhL9dRaV8sDSPUZltaJYQE9rOfYedhU/OHAQpvULbdx2n70AiIiLH8/vg/bFQcgB6jIK9m2HHatgw3VmF7QgT5Syt3bRd5YEvtrE79YuIHOfNeZvwBQKM6d8+9J0vfQMO7YKs+0Lfdx2nMCciInK8rx6HbYvgB6/A2dd82x7wQ1GBM2pXmOv8eeSxbioU7zn2PHFNKwS848Je4zbgCfGcFRGplw6X+Xlj/maGdEkivWXD0HZeXgZz/gKpfaFdv9D2XQ8ozImIiFS0aTbMehLOufHYIAdO+Grcxnm063/iZ0sOwL7NJ4a9gpWwbhoEfBXOFQ1NUk8e9mIb1c71iUi9896Srewr9jF+gAubhK98Fw7kwYhnQ993PaAwJyIickRxIXwwHpqlw2WPn/7nYxvBGd2dx/ECfucHmiMBr2LYy58ChwuPPT6++bHhrmLga9Rao3oiUiX+gOXl2bn0TG1Cr7SmIe68HLKfhuRzoMPg0PZdTyjMiYiIgLNy5Yc/hoM7YexMaFDDtyJ5opyRuCap0H7Aie8f3lf5qF7eUlj7bwiUVziX1zlPs/aVhL00aJBYs7WLSMSauXY7m/cU88uhnTEmxJuEr5kMe3Nh9FsQ6r7rCYU5ERERgCWvwboPYcjvoHXP0Pcf18R5JGec+J6/HA5sq3xUb9tiZ7nviuJbnLjy5pFHYmvwaGcikfpiYnYubZvFcWm3M0LbcSAA2U9Byy7O3nJSKxTmREREdm2ATx6A9IHQ93/druZEUdHfhrHKHN577GIsR8LetkXOb8atv8K5YqBJWuVhr0lazY9IiohrlmwuZMnmvfz2im5EeUI8MrZhOuxaB1dP1C+QapHCnIiI1G++EnhvDMTEw8gXI/OHjrimzqOyEUW/D/ZvrTzsbV3g7KNXUUKrE+fqHQl8Dc+IzK+PSD01cVYujeO8jMpsE9qOrYVZf3Ju/e52dWj7rmcU5kREpH77/LewYxVc9w9IDPFtSKEQ5XUWdGlWySp21gZH9XJPDHtb5sPq98AGKpyrgTMnr7I99ZqkOYFYRMLCpt2HmLF2Oz+6qAPxMSH+kX/j51Cw3FnBMkpxozbpqysiIvXX1zNh/t/gvDug01C3qwk9YyC+mfNI6XXi++VlwVG948PeJtg8B8oOHnt8wyRnO4cLf+GMFIpIyB0o8TFzzQ7emLcJr8fDzRekhb6IWU9BoxTIuC70fdczCnMiIlI/Fe2AyXdCq27OoidyougYaH6m8zietc5WDns3BcNeLuxYAwtehBXvwsAHoddt+q28SAgcKi3ns3U7mLaygK/+u4uy8gApTeL43ZXdaJUYG9piNs2BLXNh6OPOvyFSq/QvrIiI1D+BAEy50xlZ+sE08Ib4h526wBhIaO482lQY1du+yllMZvp9sPgVGPoopF/kVpUiddbhMj9fbtjJtJX5fLF+JyW+AGc0iuXGPmkMz0imZ9smod+KACD7SUhoCefeHPq+6yGFORERqX/m/w02fgHDnoJWXdyupm45ozvc8qGzzcOnD8EbV0Ln4XDJI5XP2xORKist9/PVhl1MW1nAZ+t2UFzmp0XDBlyb2ZbhPVqTmdYUT6hXrawob4nzb+vFv9Ec2hBRmBMRkfqlYAV89hsnYGSOcbuauskY6HoFdLwE5j/vzJ95vg+c/z+QdR/ENnK7QpGIUVYeYM43u/lwZT4z1+ygqLScZgkxXNUzheE9kunTvnnotx04meynIbax/m0NIYU5ERGpP8oOOdsQJLSAK/7qhA6pPd5YyLoXMq6Hz38Hc/4Cy9+Bwb+Gc27QNgciJ1HuDzB34x4+WlnAJ2u2s/+wj0ax0VzW/QyG92hN3zOb440Ks/9/dqyF9dPgwvv1C5sQUpgTEZH64+Nfwp5v4JapzgqOEhqNkmHkC3DeWPj4fph6Nyya6CyQkNbX7epEwoI/YFmQu4dpKwv4ZPV2Cg+V0bBBNJd0TWJ4RjL9O7QkJjrMAlxF2U9BTEPoc4fbldQrCnMiIlI/rJkMy96E/vdA+wFuV1M/pfSCMZ/Cqvfgs4fh1aHOhsJDfgdN2rpdnUjIBQKWJVv2Mm1FPtNXb2dXUSlx3igu7prE8B7JXHhWS2K9UW6XeWp7NsKaD6Dv3fpFWYgpzImISN23byt8+BMnTAx80O1q6jdjoMco6Hw5zHnWufVyw3To9xPnEZPgdoUitcpay/Kt+5i2soDpqwoo2F9Cg2gPgzq3YniP1gzq3Iq4mAgIcBXNfgY8XifMSUgpzImISN0W8MMH45ztCK55GaK8blck4IS2gQ9AzxudUbqvHoelb8KQ30L3UZrPKHWKtZY1+Qf4cGU+H60sYNvew8REeRhwVkvuv6wzg7sk0bBBhP5Yvm8rrHgHMm+HxCS3q6l3IvRvjYiISBXNehK2zIORE7Q0fjhq0hZ+8Ar0Hgef3O8E74UT4bLHnJFUkQhlrWXDjiKmrShg2sp8Nu0pJtpj6N+xBT+9+CyGdE2icVwd+OXS3GedPy/4sbt11FMKcyIiUndtmQ9fPQbdr4WM0W5XI98lrS+M+xJWvA2f/RYmDoKM62Dww84CKiIR4pudB5m2Mp9pKwv4ZudBPAYuOLMFd154Jpd2O4OmCTFul1hzDu6EpW9Axg8179UlCnMiIlI3Hd4H74+Dxm2dzcEl/Hk8zm2XXa5wVsab/zdYOxWy7nHm4nhj3a5QpFKbdh86GuDWby/CGOjTvhm3XHA2l519Bi0aNnC7xNox7znwlzkLS4krFOZERKTusRam/QwO5MHtM7TnUaSJbeTMnet1C3z6f/DFI7D0dRjyCHS9UvPpJCxsLSzmo1XOLZSr8w4AkJnWlN+M6Mrl3ZNp1aiO//KhuBAWTXJWpG1+ptvV1FsKcyIiUvcsf9tZJnvQ/0Hb3m5XI9XVLB1++HfI+Qo+eQD+dQuk9Yehj0JyD7erk3qoYP9hPlpZwLSVBSzfug+AjLZNeGhYFy7vnkzrJnEuVxhCC16CsoOQda/bldRrxlrrdg0nlZmZaRcvXux2GSIiEkl2fwMvDYCUc+Hmf4Mnwpb4lsr5y2Hpa/DFH+DwXmfUbuBD0LCl25VJHbezqISPV21n2sp8Fm3aC0C31o0Y3qM1w3sk07ZZvMsVuqC0CJ45G9L6wXVvu11NnWeMWWKtzazsPY3MiYhI3VFeBu+PgegYGPmSglxdEhUNvcfC2dfAV0/Awgmw+gO48Bdw3h3Of3ORGlJ4qIyPVxcwbUUBC3L3ELDQKSmRe4ecxbAeyaS3bOh2ie5aNAlK9sEAjcq5TWFORETqji8egYLlMPotaJzidjVSG+KaOrdZ9roNZjwInz4Ei1+FS/8IZ12q+XRSbfuLfcxYs50PV+Yzd+Me/AFLessE7h7UkRE9kumYlOh2ieHBd9hZ+OTMQdo+JAwozImISN2w8Qtnv6Net0GXEW5XI7Wt5Vlw43vw9UxnPt07o50fLi99FFp1drs6iRBFJT5mrt3BtJUFZH+9C5/fktosnjsGpDO8R2u6JCdi9AuCYy19Aw7tgqz73K5E0Jw5ERGpCw7thhcugNgmMP4/EFMP57DUZ36fs9H4fx5zFmToPRYuuh/im7ldmYShQ6XlfL5+J9NW5POf/+6irDxASpM4hvVIZniPZLqnNFaAO5nyMnj2HGiSCrd/4nY19YbmzImISN1lLUy5y1kU48b3FeTqoygv9L0LelwLX/4BFk2EVf+Egb9yRmqj9ONOfVfi8/Pl+p1MW1nA5+t3UOILkNSoATf0SWV4j9acm9pEAa4qVr7rbPky4lm3K5Eg/esmIiKRbeFE+HoGDH0czujudjXipoQWMPwZyBwDMx6A6fc5CzUM/aNzC6bUK6Xlfr7asItpKwv4bN0Oisv8tGgYw6hebRneI5ne7Zrh8SjAVZm/HLKfhuRzoMNgt6uRIIU5ERGJXNtXOwtgdLwE+tzhdjUSLs44G26eCus/gk9/BW+OhE6XwyW/1+bGdVxZeYA53+zmw5X5zFyzg6LScprGe7nynBSG90imT/tmREd53C4zMq2ZDHtznQWmNIoZNhTmREQkMvkOO9sQxDaGK/+mHy7CwJF5+GFxu5ox0GU4dBwC8/8Gs56E5/vA+XfCgJ87f2+kTij3B5iXs4dpKwr4ZM129h/20Sg2mqFnn8HwjNZccGZzvApw308gANlPQcsu0GmY29VIBQpzIiISmWb8Cnathxs/0MbRLgoELIs2FTJleR4frSygqLScOG8Ucd4oYr1RxMVEffs6JorYaM/RtsreP/I8LsZD7JFjjrZ9+9obZaoWGqMbQP+fQcb18PnvYO5zsOJdGPR/0PNG7UUYofwBy8LcQqatzOeT1dvZc6iMhg2iGdI1ieE9kunfsQUNovXftsZsmA671sHVL4NHwTicKMyJiEjkWTcNFk+Cvndr7oZL/rujiCnL8vj38nzy9h0mPiaKS7om0bZZPIfL/Bz2OY8Sn//o6/2Hfew47r0Snx+f//RX1o7ymAqB0HP0+cnCX1yMh7hGP6VN76Fc8M1TtPrwx+yf9QIbez1EaUrf40Kl5+hz3ZIXPgIBy9Ite5m2soCPVhWwq6iUOG8Ug7u0YniP1lzUqSWxXgW4GmctzPoTNG0P3Ua6XY0cR2FOREQiy4F8mHo3JGfA4IfdrqZe2XGghKnL85m8LI+1BQeI8hiyOrbgF0M7MaRrEvEx1fuxwucPOKHP56ekLHA07B0u8x9tP1zmp6T8+LbACYHxsM/P3uIyCiocU+LzU1xWTsACeID7GOGZx/373uHcL25gmr8Pj5VfzzZ74givN8qcEBKdEUTPiYGxwutjQuQxr6OOCZ4eA35rCQSO/GkpD1j8AUvAOn8e/9wfsCd8xh/83JHjKj/+yHMnGPmPO+boZyrU8e1x337maI0VzvntZ8EfCDhtwfqOvF/uP7GPI9dRHgg4fRw5/vj6rOXIbloNoj0M7NSK4RnJDOrcqtp/76SKNn4OBcudFSy1MmzY0X8RERGJHAE/fDAeykvhmkkQHeN2RXXewdJyPlm9nSnL8pizcTfWQkabxjw8oivDe7SmZWKD792HN8qDN8pDYqy3BiqunLUWn99WCH8DKSr+MfnLXuCylS9wmXcZOR3HsDr9Ng7aWEoqhMMTQ2WAkjI/uw+Wnfi+z08Yb+H7nYyBKGPweAxRxhDtCT73GDzGEOVx3o+KMsccd+T96Kgjxx15H7weD1EeD1GGCudxPhvtOfY8Tl8Q7fEc7e/4PtJbJjC4SxING+hH2JCZ9RQ0SoGM69yuRCqh/xNERCRyzPkLbMqGK56DFh3drqbO8vkDZH+9i8nL8pm5djslvgBtm8XxvwM7cGXPFM5s2dDtEk+bMYaYaENMtIfGcUdCYwKk/gYuGguf/YaOq16gY/4UuPg3cN611ZobZK2ltLzCSKMvcHTU8PgRxMNlfqy1x4Sbo2HouOdRFULQkaAU7fE4gccce3y057igVeF5xaB1NIQF28Ni4RoJL5vmwJa5cNkT+uVZmDI2jH99lJmZaRcvXux2GSIiEg62LYFXLoHOw2HUa1q9soZZa1m+dR9TluXx4coCCg+V0STey/AeyYzsmcK5qU3r/g/7WxbAJ7+E/GWQkglDH4O2vd2uSsQ9b46E7avgp6vAG+d2NfWWMWaJtTazsvc0MiciIuGv5AC8fzskJsOIvyjI1aBNuw8xZXkeU5blsWlPMTHRHoZ0TWLkOSkMOKslMdH1aAGQ1D4w9gtY+S589huYdDH0GO2M1DVq7XJxIiGWtwQ2fuH8/VeQC1sKcyIiEv6m/xz2bYFbp0NcE7eriXh7DpYybWUBU5bnsWzLPoyBvunNuWtgB4aefQaNanHuWtjzeOCc66HLCMh+GuY9D+s+hP73wAV364daqT+yn3b2Y8wc43Yl8h0U5kREJLyt/KczUnLh/ZDW1+1qItbhMj8z1+1gyrI8Zv13F+UBS+czEnngss5ccU5rkhsrpByjQSJc/DD0ugU+/T/48vew9A245HfQ9SqNDkvdtmMNrJ/m/Lsb28jtauQ7KMyJiEj4KsyFafdA2/NhwM/dribi+AOWeRv3MHlZHp+sLuBQmZ8zGsUyJqs9V52TQpdk/ZB2Sk3bweg3ITcbPrkf/nUrpF4Alz3mbI8hUhdlPw0xDaHPHW5XIqegMCciIuHJ74P3x4LxwDUTtb9RFVlrWVtw4OiG3juLSklsEM3wHq25smdrzm/fHI9Ho0qnrX0W3DHLGZ374hF46ULoeSMM/jU0bOV2dSI1Z89GWPMB9L0b4pu5XY2cgr4ziohIePrPY5C3GH7wKjRJdbuasJe37zD/Di5k8t8dB/FGGS7q1IqRPVMY1LkVsd4ot0uMfJ4oyLwNuo2EWX+CBS/Cmilw4c+hz50Q/f333BNx3exnwON1wpyEPYU5EREJP7nZkP0UnHMjnH2129WErf3FPqavLmDysjwW5hYCkJnWlN9fdTbDuifTNEH7QtWKuCZw6R+g160w41cw89ew+FWnrdPlmk8nkWvfVljxDmTeDolJblcjVaAwJyIi4aW4ED4YD83PhMsed7uasFNa7ufL9buYsiyPL9bvpMwfIL1lAvcOOYsrz0khtXm82yXWHy06wg3/hG8+g08ehHevh/SL4NJHIamr29WJnL65zzp/XvBjd+uQKlOYExGR8GEtTP1fOLQLrpsJDRq6XVFYCAQsizfvZfKyPD5amc+BknJaNGzADeenMrJnCt1TGtf9Db3DWYeL4X8uhEWT4D9/hBf7OyMbAx/UnCOJHAd3OnNCM34ITdq6XY1UUZXCnDEmCXjPWptljEkF3gACwDfAHcHzfAA0AyZZa18xxnir0lbjVyQiIpFryavOcthDHoHWPd2uxnVf7ygKbuidT96+w8R5oxh69hlc1TOFfmc2JzqqHm3oHe6ivHD+ndDjWvjyj7B4Eqz6F1z0APQe47wvEs7mPQf+MmdPRYkYxlr73QcY0xR4B2hlrT3XGPMH4C1r7TpjzMfAL4GLgUbW2t8YY6YDo4FxVWmz1hadrO/MzEy7ePHimrhOEREJdzvXw4SLIPV8uPEDZ/PmemjngRKmrshn8rI81uQfwGMgq2NLRvZMYUjXJBIa6KaaiLBjrbOVQe5X0KITDP2jM4InEo6KC+HP3eGsofCDSW5XI8cxxiyx1mZW9l5VviP4cYLYvwGstb+q8F5zYDdwEXB/sG0WkHkabV8eV+x4YDxAaqpWLxMRqRd8JfD+GIiJh5Ev1rsgd7C0nBmrtzNleR5zvtlNwEKPNo359fCuDM9IplVirNslyulK6go3/xs2THcWSXnrGuh4KVz6R2jRwe3qRI614CUoOwhZ97pdiZymU4Y5a+0B4IR78Y0xo4E11tp8Y0wCkBd8qxBIAqradnx/E4AJ4IzMnd7liIhIRPrsYdixGq7/JySe4XY1IeHzB5j99W4mL8vj07XbKfEFaNM0jh8N7MCV56TQoZXmC0Y8Y6DzMGdEbsGL8NWf4G99nG0MBvzcWRVTxG2lRc7fz07DtHBPBKrWvRrGmHTgPpzbKwEOAnHAfqBh8HVV20REpD777wznB4nz7oCzLnW7mlplrWXFtv1MWZbHhyvy2XOojCbxXn7Qqw0je6ZwbmpTLWRSF0U3gH4/gYzr4PPfwbznneXfBz0EPW+GKN06Ky5aNAlK9sEAjcpFotP+16PCHLrbrbX7g81LgP7Ae0AGMP802kREpL4q2g5T7oKks2HI79yuptZs3nOIKcvymbI8j9zdh4iJ9jCkSxJX9UzhwrNaEhNdv24rrbcatoIrn4PeY535dNN+Bh/f72zD0aIjtDgLmncMPu8IDRLdrljqOt9hZ+GTMwdBSi+3q5FqqM6vgu4HUoG/Bn97+DDwOjDdGJMFdAUW4NxOWZU2kf9v787j667q/I+/TtKkTdskTdM0bdJ9o1B2C7RCCwKCIIMsKigoIy7IT3Bf0EEdZ3EWnU1nXFAYFZBR9k0WF7SIFC17C3Sh0NJ0TdssXbJ/f398b5ulCW3a3PvNTV7Px+M+eu835958vidL7zvnfM+RNBi1tcE9V8fXaVx8I+QNrOvCtu1s4sEX4oVMnllbQwgwb2opV586nXccNY6iYa5uOGhVHAsfegiWPwRr/wTVq2DjUnj5AYha29sVju8m5M2CospBd12p0uSZn8VbwSz4fNKV6CDtdzXLA36hECqIR90e2TNid6DHeuJqlpI0gP3pu/Do9fDOf4+Xbh8AGppb+fVLm7jn2Sr+sGILLW0Rs8cVcsFxlZx/TAUVowqSLlH9WUsTbH8NqlekbqtS/66Exg5vmYYUxIuodA15pTPiRYSkA9HSBN85FkZNgisfTroavYlDXc3ygERRtB745cEckyQNMuufhd98A2afF2+unMVa2yIWr97K3c9W8fDSjexobGFc0TA+vGAqFxxbyeHji5IuUdliSD6UHRbfOoqiePSka8hbtwSW3gV0+MN88cQ43HUMeWNmxqN8Xo+pjp6/Deqq4PzvJF2JDoFX3EqSMqtxB9zxYRhRBud/NyvfYEZRxMsb4g29732uik11jRQOHcK5R8Ubep80tZTcnOw7L/VTIcTX240cC1NO6fyx5t2wbXWXkbwV8Mat8RTmPfJHxiN3Y2albqn7o6cPuCnOOgCtLfDH/4Dxx8L0M5KuRofAMCdJyqyHvxS/+bziPhg+OulqemV9zW7ufW499zxbxfJN9QzJCZx22Fi+dl4lZxw+lmF5uUmXqMEmrwDK58S3jqII6je0T9OsXhnfX/skvNhxglSIp9l1DXljZsV/cMnCP7boACy7O57Se8ktfo2znGFOkpQ5S++CZ2+BUz4LUxcmXc0Bqd3dzEMvbuDuZ6t46rVtALxlcgl/f8GRvPOo8YwekZ9whVI3QoCiivg27bTOH2vaCVtfbQ96W1NB7/U/Qsvu9nZDiztM1ewQ8kqmxlNClZ3a2uDxf4Oyw+O95ZTVDHOSpMyoWQv3fxoq58LbvpJ0NT3aUt/I0vW1vLS+jmfX1rBo5RaaWtqYNmYEn3v7LN51bCWTSl1kQlksfwSMPzq+ddTWFl9D1TXkrX4Mnv95e7uQCyVTOoe80lToG1Ga0VPRQVj+IGx5GS76sauiDgCGOUlZbVdTCwV5uW603N+1tsCdH4WoDS7+MeQmvyx/FEVU1exmaVUdL62vZen6OpZW1bK5vnFvm8mlw7nspElceFwlR1UW+32mgS0nB0ZNjG8zulxHoCyMogAAIABJREFU1VAHW1d1DnnVK+HV30Fr+88MBaPb98nrGPJKprg5en8QRbDo2/Ho6pwLk65GfcCfKklZp6W1jd+8vJlbFq/hj6uqKRo2hMPGFca38kJmlcf3Rw13GlC/8fi34Y3FcOENMHpqxj99a1vEa9U7Wba+lmXr61i2vpalVXXU7m4GICfAzLGFnDJjDHMqi5lTUcQRFUXuBSftMawIKo+Pbx21tcaj7p1C3ipY8Wg8pXqPnLz4Z3/P6pqlHaZvFpRk9lwGs1d/Cxueg7/6juF6gPCrKClrbK5v4Bd/foOf/3ktG2obqCgextWnTadudzMrNtVz73PrqW9o2dt+bOFQDhvXHu4OKy9kZvlIhuf7qy+j1jwJf/gXOPoSOOaStH+6ppY2Vm6uj0NbVTzi9vKGOnY1xZsx5+fmMHt8IeceNY45FXFwmz2uiIJ8Fy+Rei0nNw5po6cCZ3X+2O6a1Gjeis4Lsax4BNqa29uNKOsm5M2MF2bJ8eeyTy36t3jT+WPel3Ql6iO+o5HUr0VRxF9e387Ni9fw8NINNLdGLJg5hm+cP4fTZ49lSG5Op7Yb6xpYvrGeFZvqWb5xBys21XPL4jU0trQB8ZoAE0uGpwLeSA4bV8Rh5YVMHTOC/CFeO9DndtfAXR+N35Sd++2+f/mmVl7eGIe2ZevrWLq+lhUbd9DUGn+9R+TnckRFEe+dO5E5FUUcWVnMjLEjycv1ay2lXcEomDA3vnXU2gI1a/YNeS/dB7u3tbfLHQql0ztvqVAyBYorYeQ4R5Z66/UnYO2f4Jx/dQGbASREUbT/VgmZO3dutGTJkqTLkJSAHY0t3P1sFbc8uYblm+opGjaE98ydyGUnTWJa2chevVZrW8TabbvaQ96melZsrGd19U5a2+LfgUNyAtPKRsQhb89I3rhCJpYMJ8f9wg5OFMEdH4rfoH340X3f0PVS7e5mXkpNkVyWur7t1S07SH0JKRmeF4+0VRYxp6KYIyuKmFI6wq+flE12bu18Td6eLRW2vw5Ra3u7kBMHuj0rdhZPSN2vTN0q4o3SDXztbr4QNr4In34x3tJCWSOE8HQURd3+J+p3uKR+ZeWmem5evIa7nqliR2MLcyqK+JeLj+L8YyoPehpcbk5g6pgRTB0zgnccOW7v8caWVlZv2ZkaxYuD3vPranjghQ172xTk5TKzfOQ+IW9s4VAXw9if526N9zI6/au9DnIdV5Rcmhp1W7tt196PjysaxpyKIs45ajxHVhQxp7KYiuJhfk2kbDeiNL5Nmtf5eEtTvC9azVqoXQd16+OVN+uqYMsrsOq30Lyz83NCDowsbw93RZXxqF5RBRSlwl/huH6xIFPaVT0dL1Zz5t8a5AYYR+YkJa65tY1Hl23i5sWvs3j1NvJzczjv6PFcPn8yx00clfE36DsbW1ixqfNUzeWb6tnSYZXD4oK8eLGVcSNTIa+IWeUjXXRlj+pV8MOF8WIJH7y3x+teultRctn6WjbVdV5R8siKYo5ITZOcU1HEmJFDM3UmkrJBFEFDbSrgpYJebVXn0Fdb9SaBr8uoXnFl++OBEPj+77J4H8FPvxgvZqOs4sicpH5pY20Dt/15Lbf9eS2b6xuZUFLAl94xm/fOnUBpgm/WRwwdwnGTSjhuUucV1rbtbNpnqmbXRVfKi4buHcWbNVgXXWlphDuvjK/JuPCHe4NcW1vEa1t37h1p625FyRljR3Ly9DF7g5srSko6ICHE1+gVjILyOd232Rv41qdu6zoHvy3L49Grph1dXzwOfF1H9TpO7ywc338D36Zl8MoDcOp1BrkBaBC9u5DUH0RRxJOrt3LL4jU8smwTbVHEqbPK+Of5kzl11lhy+/H1TaNH5DN/einzp7dvirtn0ZVXNsbhbnlqRO/mLouuTBo9fJ+QN2AXXfnd38OG51l71o9YvLKNZVVLWba+jpdcUVJSkjoFviO6bxNF0FgXh7zaqvZRvT0jfltWwKuP9Rz4Oo3qdRjtK65MLvA9/u+QPxJOuirzn1tpZ5iTlBF1Dc3c/UwVNy9ew6rNOxg1PI8PnzKVy06axOTSEUmXd9BCCIwvLmB8cQFvO2zs3uPti67UdZqq+btXNu9ddCUvNzBtzMhUuBu5dwuFbFt0Ze+KkuvraHrl13z49e/y89Yz+cp9I4AXGJ6fy5wOK0rOqShmZrkrSkrqh0KAYcXxbezhPbdrqOs8fbPjdM7qlfDq76GpvuuLw8ixHaZy9rBoS1+uNLn1VVh2F8y/BoaP7rvXVb/hNXOS0uqVjXX87Mk13PNsFbuaWjlm4ig+MG8y5x09nmF5g28UprGllVc37+w0VXP5pnrWbd+9t01BXi6zOoS7Pf/2h0VX3mxFyVJqeWTYdTQMGcVtx/yUwyaVu6KkpMGroa7LdM71XRZvWR+PAnayJ/B1GdXrONLXm8B37zXw4u3wqRegsLzPT1GZ8WbXzBnmJPW5ppY2Hlq6gVsWr+Evr29n6JAczj+mgg/Mn8zRE0YlXV6/tKOxhZWpVTWXd1h8pXpH+0Igo4bn7TNV87DyQoqHp2fazpb6xk6hracVJedUFjNnfCGnPn0NQ9c+Tvjo72DckWmpSZIGlL2Br5vFWvYEwMbafZ83YmznRVq6rtZZWAE7NsF3joW5V8K538r8uanPuACKpIyoqtnNbU+t5f/+spbqHU1MLh3O35x7OO+ZO8FVHvdjZA+Lrmzd0ciKTTvi6Zqb4uma9zxbRX3jvouuzO4wijdj7IEvunLAK0pWFnHJCe1TJcsKOyxS89QP4bXfxJvRGuQk6cAMK4pvY2f33KaxvsuoXofRvm2r4bXHuw98ealLGN76yfTUrn7BMCfpkLS1RTzxajU3P7mG37y8iQg4Y/ZYPjB/CgtmjHF63SEqHTmU+SOH7rPoyobaBpbv2R8vNZr30yfX0NTDoit79sebXDqcddt3d1pRctn6Omp2HcKKkhuXwqNfhZlnw4kfS2t/SNKgM7QQyg6Lbz3ZE/j2jPDVVsWBr+I4GDUxc7Uq45xmKemg1O5q5o5n1nHr4jWsrt5J6Yh8LjlhIu87cRITRw9PurxBqbUtYs3W+Hq8V/ZsobCxnte37tq76EpH+bk5HDaukCMriziiopgjD2ZFyaZdcMNp0FADV/8JRozpuxOSJElOs5TUd5ZW1XLzk2u49/kqGprbOH7SKP7zkmM556hxDB0y+BY06U9ycwLTykYyrWwk7zhy/N7jDc2trN4Sh7zXqndSWVLAkX21ouSjfwPVy+HyuwxykiRlmGFO0n41NLfyqxc3cPPiNTy7toaCvFwuPK6Sy06azJGVxUmXp/0YlpfLERVFHFHRx5vFvnw/LLkJ3notzDijb19bkiTtl2FOUo/e2LaLW59ayy+XvMG2nU1MGzOCr513BBe/ZQLFBQlsfKr+o7YK7rsWxh8Dp38t6WokSRqUDHOSOmlri/jDyi3c8uQafrd8MwF4+xHlfHD+FN46vTTxfc7UD7S1wt1XQUsTXHxT325wK0mSDphhThIA23c2cfvTb3DL4rWs3baLMSOHcs3bZvC+EydRMaog6fLUn/zxP+D1x+Fd/wNjZiRdjSRJg5ZhThrknn+jhpsXr+H+59fT2NLGiVNH84WzD+PsOePIH3KIi2No4Fm3BB77Jsy5EI69LOlqJEka1Axz0iDU0NzK/c+v5+bFa3hhXS0j8nN5z9wJXD5vMrPH9fEiGRo4GurgjiuhqALO+894MztJkpQYw5w0iLxevZNbn1rDL5eso3Z3MzPHjuTv3jWHC4+rpPDNNoWWAH71eah9Az70EBSMSroaSZIGPcOcNMC1tkU89spmbl68hj+s2MKQnMDZc8Zx+bzJzJs22gVNdGCe/wW88As47cswaV7S1UiSJAxz0oC1dUcjv1jyBrcuXktVzW7Ki4bymTNncemJEykvGpZ0ecom21bDg5+DifNgweeTrkaSJKUY5qQBJIoinllbwy2L1/DgCxtoam1j/rRSrn/n4Zx5RDl5uS5ool5qbYY7PwIhBy7+EeT634YkSf2F/ytLA8Cuphbue249P3tyDS9tqKNw6BDef9IkLp83iRljC5MuT9nssW9C1dPw7v+FUZOSrkaSJHVgmJOy2OotO7h58RrueHod9Q0tzB5XyD9eeCQXHFvJiKH+eOsQvbYo3lPuuMvhyIuSrkaSJHXhuz0py7S0tvHbVzZz85Nr+OOqavJyA+ccOZ4PzJ/M3MklLmiivrFrG9x1FZROh3f8S9LVSJKkbhjmpCyxub6BX/z5DX7+57VsqG2gongYnz9rFpecMImywqFJl6eBJIrgvmth5xZ4329g6MikK5IkSd0wzEn9WBRF/OX17dy8eA0PL91Ac2vEgplj+Mb5czh99liGuKCJ0mHJTfDKA3DWP0DFsUlXI0mSemCYk/qhHY0t3PNsFbcsXsMrG+spGjaED86fwmUnTWJamaMkSqPNL8MjX4Hpp8O8TyRdjSRJehOGOamfaGxp5enXt/Pwso3c9UwVOxpbmFNRxL9cfBTnH1NJQX5u0iVqoGtugDs+DPkj4YIfQI4jv5Ik9WeGOSkhURSxunonj6/YwqKV1SxevZVdTa3k5+Zw3tHjuXz+ZI6bOMoFTZQ5v/4abF4G778dCsuTrkaSJO2HYU7KoNrdzTz5ajV/WFHNohVbqKrZDcCU0uG8+y0TWDCzjPnTSxnptgLKtBWPwJ9/CCd9HGadlXQ1kiTpAPiOUUqj1raI59fV8PiKahat3MJzb9TQ2hYxcugQ3jq9lI+fNp1TZ5YxqXR40qVqMKvfCPdcDeVHwpnfSLoaSZJ0gAxzUh9bX7Obx1duYdGKav64qpra3c2EAEdXFvP/TpvOgpllHDdpFHmuRKn+oK0N7v44NO2Ci2+EvGFJVyRJkg6QYU46RLubWnnqta0sSo2+rdq8A4DyoqG8/YhyFs4q45QZYxg9Ij/hSqVuPPnfsPoxOO8/YOzspKuRJEm9YJiTeimKIpZvqmfRinj07c+vb6OppY38ITmcNHU0l8ydyMJZZcwqH+niJerf1j8Lv/07mH0evOVDSVcjSZJ6yTAnHYBtO5v2Tp18fOUWNtc3AjCrfCQfmDeZhbPKOGnqaIbluX2AskTjjngbghFlcP53wT88SJKUdQxzUjeaW9t4Zs12FqUC3NL1tUQRjBqex8kzxnDqzDIWzBrD+OKCpEuVDs5DX4Jtq+GK+2H46KSrkSRJB8EwJ6Ws2boznjq5sponX93KjsYWcnMCx00cxWfOnMXCWWUcVVlMbo4jGMpyS++E526BBZ+DqQuSrkaSJB0kw5wGrR2NLfxpVbxoyeMrq1mzdRcAE0oKOP/YChbOLOOtM0opGpaXcKVSH9q+Bu7/DFTOhdO+nHQ1kiTpEBjmNGi0tUUsXV+7d/TtmTXbaWmLGJ6fy/xppVx58lQWzipjSulwFy7RwNS0E+76KERtcPGPIdc/VEiSlM0McxrQNtU1sGhFPPL2x1XVbNvZBMCciiI+unAaC2eW8ZbJJeQPcc83DXDrlsRBbttrcZAbPTXpiiRJ0iEyzGlAaWhu5S+vb+PxldUsWrGFVzbWAzBm5FBOm1XGwlllnDxjDGWFQxOuVMqQ1mZY9C1Y9G0oqogXPPE6OUmSBgTDnLJaFEWs2ryDRanw9tRrW2lobiM/N4e5U0q47pzZLJxZxuxxheS4cIkGm+qVcNfHYP0zcPSlcO6/wrDipKuSJEl9xDCnrFOzq4knVm1NXfu2hQ21DQBMKxvBpSdM4tRZZZw0bTTD8/321iAVRbDkRnjkehgyFN7zE5hzYdJVSZKkPua7XfV7La1tPPdGzd7RtxfW1dAWQeGwIZwyYwyfPKOMBTPHMKFkeNKlSsmr3wj3XgOrfg3TT4d3/U88vVKSJA04hjn1S29s27X3urcnXq2mvqGFnADHTBzFtafPZOGsMRwzYRRDcl24RNrrpfvg/k9B8y4451tw4kfBlVklSRqwDHPqF3Y1tbB49VYWrYgD3OrqnQBUFA/jnUeNZ8HMMk6eUcqo4fkJVyr1Qw118NCX4Pmfw/hj4aIfQdmspKuSJElpZphTItraIl7eWLc3vC1Zs43m1ohheTnMm1bKZfMmc+qsMUwvG+meb9KbWfMnuOsqqFsHC78AC78IQ/yjhyRJg4FhThmzpb6RP67awqIV1Ty+sprqHY0AzB5XyJUnT2XBzDLmTilhWF5uwpVKWaClER77JjzxX1AyBa58BCaemHRVkiQpgwxz6nOtbRGb6hqoqtnNuu27WL5xB4tWbOGlDXUAjB6Rz4KZY1gws4yFM8cwtmhYwhVLWWbTS/GWA5tehOM/CGf/EwwdmXRVkiQpww4ozIUQyoE7oihakHp8OPDPURS9K/X4FOAnwDqgNYqiM0IIecBdwGjgxiiKburuWF+fkNKvubWNjbUNrNseh7U4tO2mavtu1tXsYkNNAy1t0d72Q3ICx08u4QtnH8bCmWXMqShyzzfpYLS1wVPfh998A4YWwqW3wexzk65KkiQlZL9hLoRQAvwUGJF6PB34FtDxz8AnAtdGUfRQh2PXAk9HUfS3IYRfhRBuBz7a9VgURfV9dTLqG40trWyoicNaVc2uVGhLhbXtu9hY10CHrEYIUF44jMqSAo6fVELl0QVMKBlOZUkBE0oKqBxV4NRJ6VDVroN7robXFsGsc+D878LIsqSrkiRJCTqQkblW4BLg3tTjeuBi4JEObeYB7w4hfJN4xO2/gdOA61IfXwTM7eHYYx0/WQjhY8DHACZNmtSrk9GBaWhu7X5ULfV4c30jUYewlhNgfHEBlSUFzJtWyoSSzmFtfHEB+UPcIkBKmxduhwc/B20t8FffiadWujCQJEmD3n7DXBRFdcDeFQWjKNrc8XHK/wK/Tr3e0yGE24hH8qpSH98GlPdwrOvnuwG4AWDu3LlR149r/3Y0tlDVw6haVc1uqnc0dWo/JCdQMSoeQVs4s2yfUbVxxcPIcz83KfN2b49D3NI7YcKJcOEPoHR60lVJkqR+oq8WQPldFEUtQEsIYTkwBdgBFAC1xFMyd/RwTL1Uu7s5DmZ7glpN51G2ml3NndrnD8lhwqh4ZO2IiiIqR3UeWRtbOIxcr2GT+pdXH4N7/h/s3AynXw8nfwZyXbNKkiS1O+R3BiEeovtjCOFtxCNvxwGrgKeBU4A7gGOAxT0cUwdRFLF9V/PekbSOYW3PCFt9Y0un5xTk5e4NZsdMGNUpqE0oKWDMiKEuOCJli+bd8QInT30fSmfCpb+GyuOTrkqSJPVDhxzmoiiKQgj/BjxLPNL2hSiKakMIPwV+FUJYABwBPEU8xbLrsUEliiK27Gjcd1Stw+NdTa2dnjNy6JC9Ux5Pmjo6FdSG7z02ekS+G2tLA8GG5+MtB7a8AideBWf+LeQPT7oqSZLUT4UoSt9laSGECuKRuEeiKKrt6VhP5s6dGy1ZsiRt9aVDW1vE5vrGHkfVqmp209jS1uk5xQV5qamP+64CObFkOEUFQwxr0kDW1gpP/Cc89k8wvBQu+B+YcWbSVUmSpH4ghPB0FEVzu/tYWi/AiKJoPfDL/R3LJi2tbWysa+iwqEj7QiNVNbtZX7Ob5tbOAXn0iHwmlBQwe3whZxw+Ng5sowqYMDoObIXD8hI6G0mJ2/463HUVvLEYjrgAzvsPGD466aokSVIW8Gr6Xvr2oyv4wR9e7XSsrHAoE0oKOKqymHOOHN9+vVpq0ZHh+XazpC6iCJ67FR76EoQcuPAGOPq9bjkgSZIOmCmjl86eU87k0uF7p0VWuCG2pN7aWQ33fwpeeQCmLIALvg+jJiZdlSRJyjKGuV46blIJx00qSboMSdlqxSNw7zXQUANv/3uYfw3kuI+jJEnqPcOcJGVC00549HpYchOMnQMfuBvGHZl0VZIkKYsZ5iQp3dYtibcc2LYa3notnP5VGDI06aokSVKWM8xJUrq0NsOib8Oib0FRBVxxP0xdkHRVkiRpgDDMSVI6VK+Cuz4K65+Boy+Fc/8VhhUnXZUkSRpADHOS1JeiCJbcCI9cD3nD4D0/gTkXJl2VJEkagAxzktRX6jfGK1Wu+jVMPx3e9T0oGp90VZIkaYAyzElSX3jpvnjvuOZdcO634YSPuAG4JElKK8OcJB2Khjp4+Dp47lYYfyxc9CMom5V0VZIkaRAwzEnSwVrzJ7j7KqhdBwu/AKd+CXLzkq5KkiQNEoY5Seqtlib4/Tfhj/8JJVPgykdg4olJVyVJkgYZw5wk9cbml+HOj8KmF+H4K+Dsb8LQkUlXJUmSBiHDnCQdiLY2eOoH8Ju/haGFcOltMPvcpKuSJEmDmGFOkvantgruuRpe+wMcdi781XdgZFnSVUmSpEHOMCdJb+bFO+DBz0JrSxzijv+gWw5IkqR+wTAnSd3ZvR0e/BwsvRMmnAgX/RBGT0u6KkmSpL0Mc5LU1erfw91Xw87NcPr1cPJnINdfl5IkqX/x3Ykk7dG8G377d7D4ezBmFrzv51BxXNJVSZIkdcswJ0kAG56Huz4GW16BE6+CM/8W8ocnXZUkSVKPDHOSBre2Vnjiv+Cxb8KIMXD5XTDjjKSrkiRJ2i/DnKTBa/vrcPfHYe2TcMQFcN5/wPDRSVclSZJ0QAxzkgafKILnboWHvgQhBy68AY5+r1sOSJKkrGKYkzS47KyG+z8FrzwAUxbABd+HUROTrkqSJKnXDHOSBo8Vj8K9n4CGGjjrH2DeJyAnJ+mqJEmSDophTtLA17QTHr0eltwEY+fAB++B8jlJVyVJknRIDHOSBrZ1S+ItB7athrdeC6d/FYYMTboqSZKkQ2aYkzQwtTbDom/Dom9BUQVccT9MXZB0VZIkSX3GMCdp4KleBXd/DKqehqMvhXP/FYYVJ12VJElSnzLMSRo4oii+Lu7R6+OplO/5Ccy5MOmqJEmS0sIwJ2lgqN8E910DKx+F6afDu74HReOTrkqSJCltDHOSst/L98N9n4TmXXDut+GEj7gBuCRJGvAMc5KyS3MD1K+HuvVQWwWv/hZe+AWMPxYu+hGUzUq6QkmSpIwwzEnqP/YEtdqqOKzVrUv9ux5qU/d3VXd+Ts4QWPgFOPVLkJuXTN2SJEkJMMxJyozm3e3BrK4qvu0NbanHu7bu+7xho6B4Qry9QOVboKgyvl9c2X4/f0Tmz0eSJClhhjlJh25vUKvqPIq2J6TVre8+qBWUpAJZZXtQK04FtKIJ8QImBjVJkqRuGeYkvbmmXVC/ofuAtmd0bfe2fZ9XUJIKZBUw4YRUQKvscKuA/OGZPx9JkqQBwjAnDWZNu7oEtKr2hUX2HO82qI1uH0WbcELngFY8AQrHG9QkSZLSzDAnDVR7g9q6DgGtyzVqu7fv+7zhpe3XpE08sT2g7R1Zq4C8gsyfjyRJkjoxzEnZqGln52mOXac/1q6Dhpp9nze8NDWiNhEmntR5ERGDmiRJUlYxzEn9TdPO7kfROo6udRvUxqRG0SbCpHkdFhGpaL8Z1CRJkgYMw5zUX7S2wGP/AE/8F0RtnT82fEw8ilYyGSbP73KNWiUUVkDesGTqliRJUiIMc1J/UFsFd34Y1j4JR18KM85oH00zqEmSJKkbhjkpaSsehbuvgtYmuOjHcPR7kq5IkiRJWcAwJyWltRl+9/fxtMryI+E9P4ExM5OuSpIkSVnCMCcloXYd3HElvPEUvOVD8I5/cnESSZIk9YphTsq05Q/DPR+PR+YuvhGOenfSFUmSJCkLGeakTGltht9+A/70XSg/KjWtckbSVUmSJClLGeakTKhZG0+rXPcXmPthOPubrlApSZKkQ2KYk9Jt+UNw98ehrRXe/b9w5EVJVyRJkqQBwDAnpUtLUzyt8sn/hnFHx9MqS6cnXZUkSZIGCMOclA41a+H2D0HVEjjhI3DWPzqtUpIkSX3KMCf1tVcehHuuhiiKR+PmXJh0RZIkSRqADHNSX2lpgt98HRZ/D8YfEwe50dOSrkqSJEkDlGFO6gvbX4+nVa5/Bk68Cs76exgyNOmqJEmSNIAZ5qRD9fL9cM8ngAje+zM44l1JVyRJkqRBwDAnHayWJvj11+Cp70PFcfG2A6OnJl2VJEmSBomcA2kUQigPITze4fHhIYR7OzweFUJYFEJ4IoRwTm+OSVlp22tw01lxkDvparjyEYOcJEmSMmq/YS6EUAL8FBiRejwd+BZQ3KHZ3wE3AQuBL4YQQi+OSdnlpXvhhwth62q45BY455+9Pk6SJEkZdyAjc63AJUBd6nE9cHGXNguBO6IoagWWA1N6cayTEMLHQghLQghLtmzZ0tvzkdKnpRF+9QX45QehdAZ8fBEc/ldJVyVJkqRBar9hLoqiuiiKajs83hxFUWOXZi1RFO1I3d8GlPfiWNfPd0MURXOjKJpbVlbWy9OR0mTbarjxLPjzDTDv/8XTKkumJF2VJEmSBrG+WgCltcP9kcQh8UCPSf3bsrvhvk9CCHDpz2H2O5OuSJIkSeqzMLUshDA3df8YYE0vjkn9U3MDPPg5uP2vYcwsuOpxg5wkSZL6jb4amfs+cGMI4SmgPoqiqhDCAR3ro88v9a2tr8YhbuMLMP8aOOPrMCQ/6aokSZKkvQ44zEVRdFpPj6Mo+ksI4WLgWOD+3hyT+p2ld8J9n4KcXHjf/8Fh7qIhSZKk/qfPNg2PomgVsOpgjkn9QnMDPPIVWHIjTDgh3gR81MSkq5IkSZK61WdhTspqW1+F26+AjS/CWz8JZ3wNcvOSrkqSJEnqkWFOevEOuP9TcXh7/y9h1tlJVyRJkiTtl2FOg1fzbnj4Onj6JzDxJHj3TVA8IemqJEmSpANimNPgVL0yXq1y01I4+dNw+vVOq5QkSVJWMcxp8Hnhdnjg05CbD++/HWadlXRFkiRJUq8Z5jR4NO+Gh74Iz/wMJs5LTausTLoqSZIk6aAY5jQ4bFkRT6vcvAwEx6/bAAANpklEQVRO+Sy87W8g129/SZIkZS/fzWrge/4X8MBnIG8YXHYnzDwz6YokSZKkQ2aY08DVtCueVvnszTDprfDuG6GoIumqJEmSpD5hmNPAtGV5alrly7Dg83Dal51WKUmSpAHFd7caeJ67DR78LOQNh8vvhBlnJF2RJEmS1OcMcxo4mnbCr74Az90Kk0+Bi38MReOTrkqSJElKC8OcBobNr8DtV8TTKxd+EU79ktMqJUmSNKD5blfZ79lb4Vefh/wR8IG7Yfrbkq5IkiRJSjvDnLJX00548HPw/G0wZUE8rbJwXNJVSZIkSRlhmFN22vRSvFpl9Qo49To49YuQk5t0VZIkSVLGGOaUXaIInr0lXuhkaCF88B6YdlrSVUmSJEkZZ5hT9mjcEU+rfOH/YOpCuOjHUFiedFWSJElSIgxzyg6blqWmVa6E074CCz/vtEpJkiQNaoY59W9RBM/8DB76Igwrhivui0flJEmSpEHOMKf+q7EeHvgMvHh7fF3cRT+CkWOTrkqSJEnqFwxz6p82Lo03Ad+2Gt52PSz4rNMqJUmSpA4Mc+pfogie/gk8fB0MGwVX3A9TTkm6KkmSJKnfMcyp/2iogwc+DUvvhGlvS02rLEu6KkmSJKlfMsypf9jwQrxa5fbX4PSvwimfhZycpKuSJEmS+i3DnJIVRbDkJnj4yzB8NFzxAEw5OemqJEmSpH7PMKfkNNTB/Z+CZXfB9DPgohtgxJikq5IkSZKygmFOydjwfGpa5Ro44+tw8qedVilJkiT1gmFOmRVF8JcfwyNfgeFj4K8fhMnzk65KkiRJyjqGOWVOQy3cdy28dC/MPAsu+AGMKE26KkmSJCkrGeaUGeufjadV1rwBZ34D3vpJp1VKkiRJh8Awp/Rqa4W/3AiP/g2MKIMP/QomzUu6KkmSJCnrGebUN6IIdmyCTctg80uw6SXYvAy2LIeWBph5Nlz4g3j7AUmSJEmHzDCn3mvcAZtfjsPappdS4W0Z7N7W3mbkOCg/Ak74CEyYC4e/y2mVkiRJUh8yzKlnrS2w7dV9R9u2v97eJm8EjD0cDj8Pxs6JA9zYOS5sIkmSJKWZYU7xFMn6De1hbe8UyRXQ2hi3CblQOgMqjoNjL0+FtiNg1GRH3CRJkqQEGOYGm8b6eIrkpqWdp0g21LS3KayIw9q0t0H5nDi0jZkFecOSq1uSJElSJ4a5gaq1Gbau2neKZM3a9jb5hfEUyTkXdJgieYSLlEiSJElZwDCX7aII6qq6TJF8CapXQGtT3CZnCJTOhAknwPFXtI+2jZoEISRbvyRJkqSDYpjLJg21+4a2zS/Fx/coqozD2owzO0yRnAlDhiZXtyRJkqQ+Z5jrj1qaYOvKfYNb7RvtbYYWxUHtyIvjf8vnxFMmC0qSq1uSJElSxhjmkhRFcUDrbopkW0vcJicvXnxk0jwYe2X7aFvxBKdISpIkSYOYYS5Tdm/vvHrk5pfiVSUb69rbFE+Mg9qsd7SHttIZMCQ/ubolSZIk9UuGub7W0hiPrHUdbauram8zrDhePfLo93aeIjmsOLm6JUmSJGUVw9zBamuD2rXdTJFcCVFr3CY3H8YcBlNO6RDajoCiCqdISpIkSTokhrneeu42WHJjPEWyaUf78VGT4tG22e9MhbY5UDodcvOSq1WSJEnSgGWY663WJsgdCse+v/MUyaGFSVcmSZIkaRAxzPXWW66Ib5IkSZKUoJykC5AkSZIk9Z5hTpIkSZKykGFOkiRJkrKQYU6SJEmSspBhTpIkSZKykGFOkiRJkrKQYU6SJEmSspBhTpIkSZKykGFOkiRJkrKQYU6SJEmSstABhbkQQnkI4fHU/bwQwv0hhCdCCFemjlWGENaFEH6fupWljt8YQngyhHB9h9fa55gkSZIkqXf2G+ZCCCXAT4ERqUPXAk9HUXQy8O4QQiFwEvCPURSdlrptCSFcBORGUTQfmBZCmNndsbSclSRJkiQNcAcyMtcKXALUpR6fBvwydX8RMBeYB3wkhPBMCOGb3bR7FDilh2OdhBA+FkJYEkJYsmXLlt6ciyRJkiQNGvsNc1EU1UVRVNvh0AigKnV/G1AOPEQc1E4A5ocQju6hXXfHun6+G6IomhtF0dyysrJen5AkSZIkDQYHswDKDqAgdX9k6jX+FEVRfRRFrcCzwMwe2nV3TJIkSZLUSwcTpp6mfXrkMcDrwCMhhPEhhOHAWcDSHtp1d0ySJEmS1EtDDuI5PwV+FUJYABwBPAV8A3gMaAJ+EEXR8hDCBuDxEEIFcA7xdXVRN8ckSZIkSb0Uoijq/ZPiMHYK8EiX6+m6tisB3g4siqJoY0/HejJ37txoyZIlva5PkiRJkgaCEMLTURTN7fZjBxPmMiWEsAVYk3Qd3RgDVCddRBaxv3rH/uo9+6x37K/esb96x/7qHfurd+yv3rG/eqe/9tfkKIq6XRmyX4e5/iqEsKSndKx92V+9Y3/1nn3WO/ZX79hfvWN/9Y791Tv2V+/YX72Tjf3lapKSJEmSlIUMc5IkSZKUhQxzB+eGpAvIMvZX79hfvWef9Y791Tv2V+/YX71jf/WO/dU79lfvZF1/ec2cJEmSJGUhR+YkSZIkKQsZ5iRJkqRBLIQwOoTw9hDCmKRrUe8M6jAXQigOITwUQng0hHB3CCE/hHBjCOHJEML1HdqVhxAe7/D4+BDCb0IIT4QQPpc6lhdCuD917Moun+f+EMKxmTuz9Eh3f4UQvhFC+H3q9koI4cuZP8u+k4H+mhZC+G0I4bkQwlczf4Z9KwP9tU+7bNaX/ZU6fngI4d4Oj0eFEBal2p2TuTNLj3T3V+rYqSGEH2XmjNIrA99fx6XaLAohfD1zZ5YeB9Jf3bVJHe+uX/fb19ks3f3V03OzVQb6qwR4ADgReCyE0O1+ZtkiEz+PqePlIYRnM3t2+xrUYQ64DPj3KIrOAjYClwK5URTNB6aFEGamvsF/Cozo8LzvAh8CTgEuDiFMBa4Fno6i6GTg3SGEQoAQwmXAq1EUPZexs0qftPZXFEVfj6LotCiKTgOWAj/L2JmlR7q/v64BvhZF0bHA2dn+y5f091d37bJZn/VXCGE68C2guEO7vwNuAhYCXwwhhLSfUXqltb9CCPOArwN5GTmb9Ev399fHgQujKFoIvDeE0PFj2Wi//dVNm3eEEC7q2q6HY931dTZLa39199yMn2HfSnd/HQ18NoqifwQeAY7P+Bn2rXT31x7fBgoyeF7dGtRhLoqi70VR9OvUwzLgcuCXqcePEv9n1ApcAtR1eOroKIreiOLVY7YCRcBpHZ67CJgbQhgN/BuwPYTwtnSeSyaku7/2NA4hnACsi6KoKk2nkhEZ6K+twNEhhHJgKFCTvrNJvwz0V3ftslYf91c9cHGXT7EQuCOKolZgOTAlHeeRKRnorzeAj6Sp/IxLd39FUXRVFEWbQwh5wBBgV9pOJgMOpL+6abOZzr+r9vRrd8e66+usle7+6uG5WSsD/fWHKIoWhxAWEo/OPZnG00m7DPw8EkI4HdhJHAQTNajD3B4hhPlACfF/xnsCxDagPIqiuiiKars85YkQwjUhhPcTv8F5gfivZZ2eC3wGuB34IfDBEML5aT2RDEljf+3xKeK/7g4Iaeyvh4F5wCeB3wEt6TyPTEljf3XXLuv1RX9FUbQ5iqLGLu1aoija0fH10nMGmZWu/kr98aktvdVnXhq/v/b4LPDzKIqa01B+xr1Zf3VtE0XRYrr/XbXPsR76Ouulq796eG7WS2d/pWZfXAJsB/x5fJP+Sk3J/CpwXbrP4UAM+jCXGj37LnAlsIP24dKR9Nw/VwGvEE9z+5fUXyC7e+5xwP9EUbSRONWfloZTyKg09xchhFHA2CiKXk3LCWRYmvvrOuCvoyj6m9TH3p6Oc8ikNPdXd+2yWh/2V3daO9x/s9fLGmnurwEn3f0VQjgJOBf4Zl/VnKQD6a8ubeih3YH2dVZLd39189yslu7+imKfIP5DZ9YPPqS5v64DvhdFUb+YETUgf0EcqFSyvh34chRFa4CnSQ2fAscAr3f3vA7TjgBuTf3b3XNXAdNSx+YCa/qu+szLQH8BvAv4VV/WnZQM9NdUYGIIYRjx/PasfpOZ7v7qoV3W6uP+6s6yEMKe6c/H4O8vGADfNwcq3f0VQpgCfA94/0AYlTuQ/uqmDd216+HYgJLu/urhuVkrA/31pRDCB1PHRpHll21k4OfxTOATIYTfA8eGEH6czvPZryiKBu0NuJp4OPn3qdsVwPPAvwMvA8Ud2v6+y3N/Cizo8HgysAz4L+AvQC5QQRxMngB+DRQmfc79ub9Sx38OHJ/0uWZDfwHvBFYTX49y254+zNZbhr6/OrXL5ltf9ld37YATUq93A/BA0ufb3/sr9XgK8JOkzzUb+gv4BfBah9c/LOlzTnd/ddPmEuJrCru22+dYT32drbd091d3z036nPt5f5UQv09dRPxHlpD0Offn/uryuX6f9PmGVCFKSa0Y9XZgURRPj+zNcyuI0/sj0QCc294d+6t37K/esb9651D6q4fXmwEcC9wf9XzNU9bq6/4a6Oyv3jnQ/uqu3WDsa/urd+yv3hnI/WWYkyRJkqQsNKivmZMkSZKkbGWYkyRJkqQsZJiTJEmSpCxkmJMkSZKkLGSYkyRJkqQs9P8B9s/lB02FQRgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.plot(\"Month\",\"Salary\",data=data_hangzhou, label='杭州')\n",
    "#plt.plot(\"Month\",\"Salary\",data=history_data[history_data.City=='南京'], label='南京')\n",
    "plt.figure(figsize=(15,8))\n",
    "cities = set(history_data.City)\n",
    "#cities = ['北京','上海','广州','深圳','杭州']\n",
    "for city in cities:\n",
    "    values=history_data[history_data.City==city]['Salary'].values\n",
    "    if abs(values[-1]-values[-2])>1000:\n",
    "        plt.plot(\"Month\",\"Salary\",data=history_data[history_data.City==city], label=city)\n",
    "    \n",
    "    #plt.show()\n",
    "plt.title('主要城市工资变化')\n",
    "plt.legend( loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "values=history_data[history_data.City==city]['Salary'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
